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Chuwen Zhao,1,2,* Yunwei Zheng,1,* Yaping Hang,1 Yanhui Chen,1 Yanhua Liu,1 Junqi Zhu,1,2 Youling Fang,1,2 Jianqiu Xiong,3 Longhua Hu1 1Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2School of Public Health, Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 3Department of Nursing, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Longhua Hu, Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Nanchang, Jiangxi, 330006, People’s Republic of China, Email longhuahu@163.com Jianqiu Xiong, Department of Nursing, the Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Nanchang, Jiangxi, 330006, People’s Republic of China, Email 1773014059@qq.comObjective: Escherichia coli and Klebsiella pneumoniae are prevalent Gram-negative microorganisms responsible for pneumonia, as well as the primary Enterobacteriaceae pathogens causing bacteremic pneumonia. The objective of this research is to analyze the risk factors associated with bacteremic pneumonia caused by these pathogens and develop a predictive model.Patients and Methods: This retrospective investigation encompassed a cohort of 252 patients diagnosed with Escherichia coli or Klebsiella pneumoniae-induced bacteremic pneumonia between 2018 and 2022. The primary endpoint was 30-day mortality, which was analyzed using multifactorial logistic regression, nomogram construction, and Bootstrap validation.Results: Among the 252 patients diagnosed with Escherichia coli and Klebsiella pneumoniae, 65 succumbed to the disease while 187 survived. The overall 30-day mortality was found to be 25.8%. A multifactorial logistic regression analysis revealed that diastolic blood pressure, cerebrovascular diseases/transient ischemic attacks (TIA), immunosuppression, blood urea nitrogen, Pitt score, and CURB-65 score were statistically significant factors. The Nomogram model demonstrated an AUC of 0.954, which closely aligns with the Bootstrap-derived mean AUC of 0.953 (95% CI: 0.952– 0.954).Conclusion: In patients with bacteremic pneumonia caused by Escherichia coli and Klebsiella pneumoniae, Low diastolic blood pressure (≤ 61 mmHg), pre-existing cerebrovascular disease/ transient ischemic attacks (TIA), immunosuppression status, elevated blood urea nitrogen levels (≥ 8.39 mmol/L), high Pitt score (≥ 3), and a high CURB-65 score (≥ 2) are all independent risk factors for Escherichia coli and Klebsiella pneumoniae bacteremic pneumonia, among which the first three warrant particular attention.Keywords: Klebsiella pneumoniae, Escherichia coli, bacteremic pneumonia, 30-day mortality, nomogram

Luo H, Hang Y, Zhu H, et al. Infect Drug Resist. 2023;16:2601–2609 Following a review of the paper post-publication, the authors realized the Funding statement on page 2607 was incorrect. The correct Funding statement is as follows: Funding This work was supported by the National Natural Science Foundation of China (82060391), the Natural Science Foundation of Jiangxi Province (No. 20202BAB216021), the Health Commission of Jiangxi Province (No. 20201034). The authors apologize for any inconvenience caused to the readers.

Fuxing Li,1,&ast; Junqi Zhu,1,&ast; Yaping Hang,1 Yanhui Chen,1 Shumin Gu,1 Suqin Peng,1 Youling Fang,1 Longhua Hu,1 Jianqiu Xiong2 1Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Department of Nursing, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Longhua Hu, Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Nanchang, Jiangxi, 330006, People’s Republic of China, Email longhuahu@163.com Jianqiu Xiong, Department of Nursing, The Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Nanchang, Jiangxi, 330006, People’s Republic of China, Email 1773014059@qq.comObjective: This research aimed to investigate the variations in clinical features and prognosis of HABP caused by E. coli and K. pneumoniae. We also aimed to evaluate the risk variables related to 30-day death in the investigated groups.Methods: A single-center retrospective cohort research lasting four years was performed. A total of 117 patients with HABP were involved in this research. The primary prognosis was 30-day death.Results: Among 117 patients with HABP, 60 patients were infected with K. pneumoniae (KP-HABP), and 57 patients were infected with E. coli (E. coli-HABP). A higher proportion of males, ICU admission, undergoing tracheotomy and trachea cannulation, carbapenem-resistant strains, inappropriate empirical therapy (IET), immune compromise, diabetes mellitus, and sepsis were observed in the patients with KP-HABP (all P < 0.05). Meanwhile, the median SOFA score and Pitt score were significantly (P

Youling Fang,1,2 Qiaoshi Zhong,1 Yanhui Chen,1 Yaping Hang,1 Xueyao Fang,1 Yanping Xiao,1 Xingwei Cao,1 Hongying Zhu,3 Hong Luo,1 Suqin Peng,1 Shumin Gu,1 Fuxing Li,1 Junqi Zhu,1 Jianqiu Xiong,4 Longhua Hu1 1Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2School of Public Health, Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 3Clinical Laboratory of Ganzhou People’s Hospital, Ganzhou, Jiangxi, People’s Republic of China; 4Department of Nursing, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of ChinaCorrespondence: Longhua Hu; Jianqiu Xiong, Email longhuahu@163.com; 1773014059@qq.comObjective: To analyze the clinical characteristics, outcomes, and risk factors of patients treated with ceftazidime/avibactam, polymyxin, or tigecycline (CPT) compared with those receiving a conventional therapy (CT) (ie, imipenem, levofloxacin, or gentamicin).Methods: A single-center retrospective cohort study included patients with carbapenem-resistant Klebsiella pneumoniae bloodstream infection (CRKP-BSI) treated at one Chinese tertiary hospital between March 2012 and November 2022 was performed. Clinical characteristics, outcomes, and risk factors of patients treated with CPT or CT were compared. Predictors of 30-day mortality of patients with CRKP-BSI were also analysed in our study.Results: Among 184 recruited patients with CRKP-BSI, 39.7% (73/184) were treated with CPT, while 60.3% (111/184) were treated with CT. Compared to patients treated with CT, patients treated with CPT had worse conditions, as evidenced by a higher rate of underlying diseases and invasive procedures; however, they also had a better prognosis and lower rates of 14-day treatment failure (p = 0.024). In addition, univariate analysis and multivariate analysis showed that SOFA score [odds ratio (OR) = 1.310, 95% confidence interval (CI) 1.157– 1.483; p < 0.001] and cold weather (OR = 3.658, 95% CI 1.474– 9.081; p = 0.005) were independent risk factors for 30-day mortality.Conclusion: Compared to CRKP-BSI patients treated with CT, patients treated with CPT had worse conditions but better prognoses. CRKP-BSI occurred more frequently in hot weather; however, higher 30-day mortality was associated with cold weather. A randomized trial is needed to confirm these observational results.Keywords: carbapenem-resistantKlebsiella pneumoniae, polymyxin, tigecycline, ceftazidime/avibactam, bloodstream infection, hot weather, cold weather

Shumin Gu,1,* Jianqiu Xiong,2,* Suqin Peng,1 Longhua Hu,1 Hongying Zhu,3 Yanping Xiao,1 Hong Luo,1 Yaping Hang,1 Yanhui Chen,1 Xueyao Fang,1 Xingwei Cao,1 Youling Fang,1 Fuxing Li,1 Junqi Zhu,1 Qiaoshi Zhong1 1Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China; 2Departmentof Nursing, The Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China; 3Clinical Laboratory of Ganzhou People’s Hospital, Ganzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qiaoshi Zhong, Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Nanchang, Jiangxi, 330006, People’s Republic of China, Tel +86151-8047-5673, Email zhong20000947@sina.comObjective: This study aimed to determine the clinical features, risk factors, and effective antimicrobial therapy for Carbapenem-resistant Acinetobacter baumannii (CRAB) bloodstream infection (BSI).Methods: This was a retrospective analysis of data from patients with CRAB bacteremia in a Chinese tertiary hospital between January 2012 and October 2021. Risk factors, predictors of 30-day mortality, and effective antimicrobial therapy for CRAB BSI were identified using logistic and cox regression analyses.Results: Data from 276 patients with Acinetobacter baumannii (AB) BSI were included, of whom 157 (56.9%) had CRAB BSI. The risk factors that were significantly associated with CRAB BSI included previous intensive care unit (ICU) stay (P < 0.001), immunocompromised status (P < 0.001), cephalosporin use (P = 0.014), and fluoroquinolone use (P = 0.007). The 30-day mortality of the CRAB BSI group was 49.7% (78/157). ICU stay after BSI (P = 0.047), sequential organ failure assessment (SOFA) score ≥ 10 (P < 0.001), and multiple organ failure (MOF) (P = 0.037) were independent predictors of 30-day mortality. Among antibiotic strategies for the treatment of patients with CRAB BSI, we found that definitive regimens containing cefoperazone/sulbactam were superior to those without cefoperazone/sulbactam in reducing the 30-day mortality rate (25.4% vs 53.4%, P = 0.005). After propensity score matching, we observed a significant increase in the 30-day mortality (77.8%vs 33.3%, P = 0.036) in patients receiving tigecycline monotherapy compared to those receiving cefoperazone/sulbactam monotherapy. The mortality rate of patients receiving tigecycline with cefoperazone/sulbactam was also higher than that of patients receiving cefoperazone-sulbactam monotherapy; however, the difference was not significant (28.6%vs 19.0%, P = 0.375).Conclusion: The severity of patient conditions was significantly associated with mortality in patients with CRAB BSI. Those Patients treated with cefoperazone/sulbactam had better clinical prognoses, and tigecycline should be used with caution.Keywords: carbapenem-resistant, Acinetobacter baumannii, bacteremia, tigecycline, cefoperazone/sulbactam

Hong Luo,1 Yaping Hang,1 Hongying Zhu,2 Qiaoshi Zhong,1 Suqin Peng,1 Shumin Gu,1 Xueyao Fang,1 Longhua Hu1 1Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Clinical Laboratory of Ganzhou People’s Hospital, Ganzhou, Jiangxi, People’s Republic of ChinaCorrespondence: Longhua Hu, Email longhuahu@163.comBackground: Carbapenemase-producing Klebsiella pneumoniae is an unprecedented threat to public health, and its detection remains challenging. Analysis of microbial volatile organic compounds (VOCs) may offer a rapid way to determine bacterial antibiotic susceptibility.Purpose: The aim of this study was to explore the VOCs released by carbapenemase-producing carbapenem-resistant Klebsiella pneumoniae (CRKP) using headspace solid-phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS).Methods: Test bacteria were incubated in trypticase soy broth to the end of exponential growth phase, and imipenem was added in the middle time. Headspace VOCs were concentrated and analyzed using HS-SPME/GC-MS.Results: The compound 3-methyl-1-butanol was found to be a biomarker among the 26 bacterial isolates (10 KPC-positive, 10 NDM-positive, 2 IMP-positive, 2 carbapenemase-negative CRKP, and 2 carbapenem-susceptible K. pneumonoiae).Conclusion: This study explored a promising new strategy for the screening of carbapenemase-producing CRKP strains. Further research with larger sample sizes will potentially accelerate the application of biomarkers in routine microbiology.Keywords: carbapenem-resistantKlebsiella pneumoniae, volatile organic compounds, headspace solid-phase microextraction combined with gas chromatography-mass spectrometry

Hongying Zhu,1,&ast; Hong Luo,1,&ast; Qiaoshi Zhong,1 Xingwei Cao,1 Shumin Gu,1 Suqin Peng,1 Yanping Xiao,1 Yanhui Chen,1 Yaping Hang,1 Xueyao Fang,1 Shan Zou,1 Fangyou Yu,2 Longhua Hu1 1Department of Clinical Laboratory Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji UniversitySchool of Medicine, Shanghai, 200082, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Longhua Hu; Fangyou Yu, Email longhuahu@163.com; wzjxyfy@163.comIntroduction: The transmission of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-susceptible Staphylococcus aureus (MSSA) are great public health concern worldwide. To better understand S. aureus evolution and dissemination, we compared the molecular features of MSSA and MRSA isolates.Methods: In this study, 74 MSSA and 102 MRSA non-duplicate isolates were recovered from clinical samples between 2016 and 2020. Molecular epidemiology, antimicrobial resistance determinants, and virulence gene profiles were carried out by whole-genome sequencing (WGS).Results: Twenty distinct sequence types were identified in MRSA isolates, with the most common being ST59, ST630, and ST338. The major genotypes of MSSA were ST188 and ST7. The toxin genes clfA, sek, and seq were significantly associated with MRSA, while splA/B, clfB, map, sdrC/D, and sem-sen-seo-seu were detected more frequently in MSSA isolates than MRSA (P < 0.05). The tst positive isolates were more commonly identified in CC1 and CC72, whereas lukE/D was mainly found in the CC7, CC15, CC88, and completely absent in CC59 clones.Conclusion: Our results compared the genetic diversity between MRSA and MSSA strains, suggesting efforts to fight infections caused by MSSA need to be intensified due to MSSA isolates carrying wide range of virulence factors. Comparative epidemiological studies of large populations of MSSA and MRSA will be necessary in the future to understand how MSSA and MRSA populations may co-evolve and interact in the future.Keywords: methicillin-susceptible Staphylococcus aureus, methicillin-resistant Staphylococcus aureus, virulence, resistance, molecular characteristics, whole-genome sequencing

Xingwei Cao,1,&ast; Qiaoshi Zhong,1,&ast; Yinjuan Guo,2,3 Yaping Hang,1 Yanhui Chen,1 Xueyao Fang,1 Yanping Xiao,1 Hongying Zhu,1 Hong Luo,1 Fangyou Yu,2,3 Longhua Hu1 1Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200082, People’s Republic of China; 3Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200082, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Longhua Hu; Fangyou Yu Email longhuahu@163.com; wzjxyfy@163.comIntroduction: Polymyxin resistance caused by the plasmid-mediated mcr-1 gene in gram-negative bacilli poses a huge threat to our health. In recent years, many regions have reported that mcr-1 and β-lactamase genes can coexist in a single strain.Methods: In this study, 107 nonduplicate Klebsiella pneumoniae (K. pneumoniae) isolates were collected from a tertiary hospital in Jiangxi, China. Antimicrobial susceptibility testing of isolates was performed using gram-negative susceptibility cards on the VITEK system. The minimum inhibitory concentrations (MICs) of polymyxin B was detected using the microdilution broth method. The presence of resistance genes was assessed using polymerase chain reaction (PCR). We subjected isolates to genotyping using pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST) and analyzed the transferability of plasmids with filter mating and electroporation. Subsequently, whole-genome sequencing was performed for plasmids.Results: Of the 107 K. pneumoniae isolates, 15 (14.0%) were resistant to polymyxin B. All polymyxin B-resistant isolates harbored at least one of the extended-spectrum β-lactamase genes tested. Only one isolate simultaneously harbored mcr-1, blaNDM− 5, blaCTX-M-55, and blaSHV-27 genes. MLST results showed that 15 carbapenem-resistant K. pneumoniae isolates belonged to five sequence types (STs). PFGE results displayed nine different PFGE clusters. Conjugation and transformation experiments and sequencing analysis showed that the strain had three plasmids, and mcr-1, blaNDM− 5, and blaCTX-M-55 were located on different plasmids.Conclusion: The present study demonstrated for the first time the coexistence of mcr-1, blaNDM− 5, and blaCTX-M-55 in a K. pneumoniae ST485 isolate. The three plasmids carrying the mcr-1, blaNDM− 5, and blaCTX-M-55 genes can be transmitted in Enterobacteriaceae strains, which may lead to more severe bacterial resistance.Keywords: Klebsiella pneumoniae, polymyxin B, mcr-1, blaNDM-5, blaCTX-M-55, plasmid

Bailing Zhang,1 Honglang Li,2 Jieling Zhang,3 Yaping Hang,1 Yi Xu4 1Department of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People’s Republic of China; 2Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People’s Republic of China; 3Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People’s Republic of China; 4Department of Geriatric Medicine, People’s Hospital of Jiangxi Province, Nanchang, 330006, Jiangxi, People’s Republic of ChinaCorrespondence: Yi XuDepartment of Geriatric Medicine, People’s Hospital of Jiangxi Province, No. 92, Aiguo Road, Donghu District, Nanchang, 330006, Jiangxi, People’s Republic of ChinaTel/Fax +86-13970805275Email Yixu7271@163.comBackground: The importance of microRNAs (miRs) has been documented in infections. This study estimated the role of miR-340-5p in Mycobacterium tuberculosis (Mtb)-infected alveolar type II cells.Methods: The microarray of GEO database was analyzed to find the differentially expressed miRs caused by Mtb infection, and miR-340-5p was selected as the research object. The effects of Mtb infection on A549 cells were studied by MTT, CFU, EdU, flow cytometry and ELISA assays. miR-340-5p expression was altered in Mtb-infected A549 cells. The downstream target of miR-340-5p was found by bioinformatics analysis and verified by the rescue experiment. The pathways regulated by miR-340-5p and its target gene were further studied.Results: Mtb infection suppressed the activity of A549 cells and promoted the release of inflammatory factors. Mtb infection inhibited miR-340-5p expression. Overexpression of miR-340-5p enhanced the resistance of A549 cells to Mtb infection. Moreover, miR-340-5p targeted TMED7. Overexpression of TMED7 reversed the protective effect of miR-340-5p on Mtb-infected A549 cells. miR-340-5p inhibited the activation of NF-κB by targeting TMED7.Conclusion: miR-340-5p inhibits the activation of NF-κB by targeting TMED7, thus alleviating the injury of A549 cells caused by Mtb infection. This study may offer a novel approach to Mtb infection.Keywords: Mycobacterium tuberculosis, alveolar type II cells, microRNA-340-5p, TMED7, NF-κB

Abstract Glioma is a common primary nervous system malignant tumor with poor overall cure rate and low survival rate, yet successful treatment still remains a challenge. Here, we demonstrated that amantadine (AMT) exhibits the powerful anti-glioma effect by promoting apoptosis and autophagy in vivo and in vitro. Mechanistically, amantadine induces a large amount of reactive oxygen species (ROS) accumulation in glioma cells, and then triggers apoptosis by destroying mitochondria. In addition, amantadine induces the initiation of autophagy and inhibits the fusion of autophagosome and lysosome, consequently performing an anti-glioma role. Taken together, our findings suggest that amantadine could be a promising anti-glioma drug that inhibits glioma cells by inducing apoptosis and autophagy, which may provide a novel potential treatment option for patients.

Abstract Background Interferon regulatory factor-1 (IRF1) is a transcription factor that plays a significant role in various biological processes, including inflammatory injury, viral infection, cell death, and immune responses, and it has been extensively studied in the context of different lung diseases. However, the mechanism underlying its involvement in lung fibrosis remains largely unknown. Methods Wild type (WT) mice, IRF1 global-null mice (Irf1 −/−) were subjected to a bleomycin-induced lung fibrosis model to enable examination of the role of IRF1 in lung fibrosis. Proteomic analysis of lung tissue from WT and Irf1 −/− mice treated with saline or bleomycin was performed to explore the mechanism of IRF1 in regulating lung fibrosis. Results In the bleomycin-induced fibrosis mouse model, increased expression of IRF1 was observed. Irf1 knockout mice displayed decreased lung fibrosis relative to WT mice following treatment with bleomycin. The protein expression of fibronectin, as assessed by the Western blot analysis of lung tissues, was downregulated in Irf1 −/− mice. We observed a similar reduction in collagen content using hydroxyproline detection. Histologically, there was less collagen deposition in the lungs of Irf1 −/− mice compared with WT mice. Proteomics data revealed that IRF1 may be involved in lung fibrosis via the regulation of ferroptosis. We determined that paraoxonase 1(PON1), a poorly characterized protein in lung fibrosis, was upregulated in Irf1 −/− mice following exposure to bleomycin. In vitro experiments revealed that IRF1 could regulate the level of GSH and MDA through PON1. We also determined that PON1 levels were lower in the plasma of IPF patients compared with healthy controls. Conclusion Our data highlight the importance of IRF1 in the fibrotic process, and PON1 may be a potential mediator of IRF1 in the progression of lung fibrosis.

Over the past 50 years, extensive airborne and oceanic magnetic survey data collection efforts have resulted in the almost complete coverage of near-surface magnetic survey data worldwide. National and intercontinental magnetic anomaly maps have also been generated. Advancements in satellite magnetic field measurements, such as those from CHAllenging Minisatellite Payload (CHAMP), provided longwave magnetic anomaly backgrounds on a global scale. This has led to the realization of global magnetic anomaly grids with arcminute resolutions, such as the World Digital Magnetic Anomaly Map (WDMAM). Utilizing these datasets, spherical harmonic coefficient models such as the NGDC-720 model have been established for lithospheric magnetic fields. The global lithospheric magnetic anomaly model has progressed considerably; for example, the shortest wavelengths reflected in the spatial resolution have improved from hundreds of kilometers to tens of kilometers. However, modeling still faces major challenges; for example, the accuracy of the model remains low, amounting to a few hundred nanotesla. In this study, we provide a comprehensive review of the techniques for compiling magnetic anomalies at various scales and discuss the key methodologies for processing and compiling them. Furthermore, we address the complexities involved in modeling the global lithospheric magnetic field. Our objective was to address the shortcomings of lithospheric magnetic anomaly modeling and develop a high-precision, independent, and controllable lithospheric magnetic field model for China.

Abstract Sleep disorders significantly impact the quality of life for many individuals, which remain largely unrecognized. It is widely believed that dietary nutrient intake plays a crucial role in promoting healthy sleep patterns. However, there is lack of research focusing on cancer survivors. This study utilized the National Health and Nutrition Examination Survey (NHANES) database to investigate the correlation between dietary nutrient intake and sleep disorders in cancer survivors. Analyzing data from 2882 cancer survivors in NHANES spanning from 2005 to 2018. Dietary nutrient intake was evaluated through two 24-h dietary recalls. Weighted multivariable logistic regression model was employed to further applied to explore the association between dietary fiber intake and sleep disorders while controlling for relevant confounding factors. Additionally, the nonlinear and dose–response relationships were explored using restricted cubic spline (RCS) regression along with smooth curve fitting and threshold effect analysis. Stratified analysis and interaction analysis were conducted to assess the consistency of the results. Univariable and multivariable analysis demonstrated that dietary fiber intake showed negative correlation with sleep disorders (P 0.05). Notably, no statistically significant interactions were observed in all subgroup analyses except poverty income ratio (PIR) (P for interaction

Abstract Background Non-suicidal self-injury (NSSI) behaviors pose a significant threat to the physical and psychological well-being of adolescents. Recent research suggests that persistent, uncontrollable and repetitive NSSI can be conceptualized as a behavioral addiction. The addictive feature of NSSI behavior can be assessed using Ottawa self-injury inventory (OSI), the higher addiction score indicates the more serious NSSI behavior. This study aims to explore the relationship of impulsivity and decision-making on the addictive features of NSSI in adolescents with depressive disorder, to explore the influencing factors of behavioral addictive features of NSSI and to predict the addictive features of NSSI. Methods Using a cross-sectional design, a total of 126 adolescent outpatients and inpatients with a mean age of 15.49 years old (M = 15.49, SD = 1.56), male students (n = 28, 22.2%) and female students (n = 98, 77.8%) diagnosed with depressive disorders were recruited according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and clinical interviews were completed by two psychiatrists. NSSI addictive features according to the OSI’s addictive features items. The final group was categorized into three groups: depression without NSSI (n = 42), depression with NSSI without addictive features (n = 44), and depression with NSSI and addictive features (n = 40). The present study employed the Hamilton Depression Scale (HAMD-24), Chinese Revised Barratt Impulsiveness Scale Version 11 (BIS-11), OSI, and the Adolescent Non-Suicidal Self-Injury Questionnaire (ANSSIQ). Cognitive decision-making abilities were assessed using the Iowa Gambling Task (IGT). Results The depression with NSSI addictive features group had significantly lower total net scores and net scores of block3, block4, and block5 in the IGT than the depression without NSSI group, whereas there was no statistically significant difference between the two in net scores of block1 and block2. Lower scores mean more unfavorable decisions and strategy adjustments. The addictive features of NSSI behaviors were significantly and positively correlated with the severity of NSSI behaviors, depression, and cognitive impulsiveness, and significantly and negatively correlated with the total net score of the IGT. The severity of NSSI behaviors, severity of depression, cognitive impulsiveness positively predicts the addictive features of NSSI behaviors, the total net score of the IGT negatively predicted the addictive features of NSSI behaviors. Conclusion Adolescents with depressive disorders with NSSI behavioral addictive features had higher severity of depression, exhibited higher cognitive impulsivity, and made more unfavorable decisions when making choices.

ABSTRACT: This study established a method for rapid classification of milk products by combining MALDI-TOF MS analysis with machine learning techniques. The analysis of 2 different types of milk products was used as an example. To select key variables as potential markers, integrated machine learning strategies based on 6 feature selection techniques combined with support vector machine (SVM) classifier were implemented to screen the informative features and classify the milk samples. The models were evaluated and compared by accuracy, Akaike information criterion (AIC), and Bayesian information criterion (BIC). The results showed the least absolute shrinkage and selection operator (LASSO) combined with SVM performs best, with prediction accuracy of 100% ± 0%, AIC of −360 ± 22, and BIC of −345 ± 22. Six features were selected by LASSO and identified based on the available protein molecular mass data. These results indicate that MALDI-TOF MS coupled with machine learning technique could be used to search for potential key targets for authentication and quality control of food products.

Abstract Introduction Pyroptosis, inflammatory necrosis of cells, is a programmed cell death involved in the pathological process of diseases. Endoplasmic reticulum stress (ERS), as a protective stress response of cell, decreases the unfold protein concentration to inhibit the unfold protein agglutination. Whereas the relationship between endoplasmic reticulum stress and pyroptosis in pulmonary hypertension (PH) remain unknown. Previous evident indicated that circular RNA (circRNA) can participate in several biological process, including cell pyroptosis. However, the mechanism of circRNA regulate pyroptosis of pulmonary artery smooth muscle cells through endoplasmic reticulum stress still unclear. Here, we proved that circSSR1 was down-regulate expression during hypoxia in pulmonary artery smooth muscle cells, and over-expression of circSSR1 inhibit pyroptosis both in vitro and in vivo under hypoxic. Our experiments have indicated that circSSR1 could promote host gene SSR1 translation via m6A to activate ERS leading to pulmonary artery smooth muscle cell pyroptosis. In addition, our results showed that G3BP1 as upstream regulator mediate the expression of circSSR1 under hypoxia. These results highlight a new regulatory mechanism for pyroptosis and provide a potential therapy target for pulmonary hypertension. Methods RNA-FISH and qRT-PCR were showed the location of circSSR1 and expression change. RNA pull-down and RIP verify the circSSR1 combine with YTHDF1. Western blotting, PI staining and LDH release were used to explore the role of circSSR1 in PASMCs pyroptosis. Results CircSSR1 was markedly downregulated in hypoxic PASMCs. Knockdown CircSSR1 inhibited hypoxia induced PASMCs pyroptosis in vivo and in vitro. Mechanistically, circSSR1 combine with YTHDF1 to promote SSR1 protein translation rely on m6A, activating pyroptosis via endoplasmic reticulum stress. Furthermore, G3BP1 induce circSSR1 degradation under hypoxic. Conclusion Our findings clarify the role of circSSR1 up-regulated parental protein SSR1 expression mediate endoplasmic reticulum stress leading to pyroptosis in PASMCs, ultimately promoting the development of pulmonary hypertension.

Aiming to investigate the impact of different stocking densities on the ability of Pacific white shrimp (Litopenaeus vannamei) to utilize Chlorella sorokiniana (CHL), a 3 × 2 factorial design stocking experiment was used in this study. Specifically, shrimp was fed with two dietary protein sources (fishmeal [FM] and CHL) at low (LSD; 100 per m3), medium (MSD; 200 per m3) and high (HSD; 300 per m3) stocking densities for 8 weeks. The growth performance and resistance to Vibrio parahaemolyticus (1.0 × 107 CFU/mL) of shrimp decreased with the increase of stocking density, but dietary CHL improved this result. Differences between the CHL and FM groups for V. parahaemolyticus resistance were significant only under high-density conditions (P

This paper proposes a spatiotemporal coordinated control method for unmanned aerial vehicle (UAV) swarms based on predefined time convergence in response to the coordinated ground attack problem of UAV swarms in a three-dimensional battlefield environment. First, we analyze the UAV swarm’s ground attack task scenario and its relevant elements and establish models for the UAV swarm, ground-moving targets, and attack problems. Building upon problem modeling, this paper considers the spatiotemporal coordinated strategy for a UAV swarm and designs a spatiotemporal coordinated control law for a three-dimensional spatial UAV swarm ground attack. The proposed spatiotemporal coordinated control law can guide the UAV swarm to reach the desired attack position within a specified time, achieving a spatiotemporal coordinated attack on ground-moving targets. A theoretical analysis based on the Lyapunov function demonstrates that the proposed control law can asymptotically stabilize the attack position error variable under a predefined time condition. Simulation results show that the proposed coordinated control law can achieve spatiotemporal coordination of the UAV swarm in a ground-moving target turning motion, enabling the completion of the multiangle coordinated attack on ground-moving targets within a specified time. Currently, research on the coordinated ground attack of UAV swarms mostly focuses on stationary targets, making it difficult to apply to coordinated attack tasks on moving targets. Although the coordinated tracking of moving targets by UAV swarms has been reported in the literature, spatiotemporal coordination among UAVs has not been considered. Therefore, this paper focuses on the spatiotemporal coordinated control strategy of UAV swarms, with a background of coordinated ground attacks by UAV swarms. First, this paper conducts a detailed analysis of the UAV swarm’s coordinated ground attack task in terms of time and multiple elements to establish a comprehensive task profile. Subsequently, by focusing on the core elements of coordinated ground attack by UAV swarms, this paper models both UAV swarms and ground-moving targets. Based on the established models and coordinated control strategy, this paper considers spatiotemporal coordination constraints and designs acceleration commands for each UAV to guide them to reach the specified attack positions at predefined time points, enabling coordinated attacks on the ground targets simultaneously. The designed acceleration control commands serve as inputs to the UAV’s autopilot, further generating lower-level control commands, such as speed, flight path angle, and heading angle, thereby achieving stable flight control of the UAVs. The proposed coordinated control strategy endows the UAV swarm with the capability to achieve spatiotemporal synchronized coordinated attacks, thereby enhancing the operational effectiveness of UAV-coordinated ground attacks.

Abstract Background Hematopoietic stem progenitor cells (HSPCs) undergo phenotypical and functional changes during their emergence and development. Although the molecular programs governing the development of human hematopoietic stem cells (HSCs) have been investigated broadly, the relationships between dynamic metabolic alterations and their functions remain poorly characterized. Methods In this study, we comprehensively described the proteomics of HSPCs in the human fetal liver (FL), umbilical cord blood (UCB), and adult bone marrow (aBM). The metabolic state of human HSPCs was assessed via a Seahorse assay, RT‒PCR, and flow cytometry-based metabolic-related analysis. To investigate whether perturbing glutathione metabolism affects reactive oxygen species (ROS) production, the metabolic state, and the expansion of human HSPCs, HSPCs were treated with buthionine sulfoximine (BSO), an inhibitor of glutathione synthetase, and N-acetyl-L-cysteine (NAC). Results We investigated the metabolomic landscape of human HSPCs from the fetal, perinatal, and adult developmental stages by in-depth quantitative proteomics and predicted a metabolic switch from the oxidative state to the glycolytic state during human HSPC development. Seahorse assays, mitochondrial activity, ROS level, glucose uptake, and protein synthesis rate analysis supported our findings. In addition, immune-related pathways and antigen presentation were upregulated in UCB or aBM HSPCs, indicating their functional maturation upon development. Glutathione-related metabolic perturbations resulted in distinct responses in human HSPCs and progenitors. Furthermore, the molecular and immunophenotypic differences between human HSPCs at different developmental stages were revealed at the protein level for the first time. Conclusion The metabolic landscape of human HSPCs at three developmental stages (FL, UCB, and aBM), combined with proteomics and functional validations, substantially extends our understanding of HSC metabolic regulation. These findings provide valuable resources for understanding human HSC function and development during fetal and adult life.

Abstract The neural network optimal control strategy based on a fuzzy differential game is proposed for the tripartite UAV confrontation systems consisting of the attackers, defenders, and targets. Firstly, the tripartite UAV mutual confrontation model is constructed and a nonlinear differential control system is established. Secondly, combining the fuzzy evaluation method and differential game theory, the tripartite UAV are divided into two parts of the confrontation game: attackers-defenders and attackers-targets. The optimal control strategies for the attackers, defenders and targets parties are derived separately. Then, the tripartite UAV game model is considered to be difficult to solve directly. The evaluation neural network is introduced to approximate the optimal value function using an adaptive dynamic programming method. The convergence of the evaluation neural network weights and the stability of the nonlinear differential control system are proved by using Lyapunov stability theory. Finally, the effectiveness of the tripartite UAV confrontation game control strategy designed in this paper is verified by simulation.

[Introduction] As an important carbon capture method in CCUS, pressure swing adsorption (PSA) CO2 capture technology has been widely used. However, the excessive capture energy consumption and operation cost restrict the promotion and implementation of the technology. How to accurately select the appropriate capture technology according to the actual situation and reduce the capture energy consumption is particularly important. [Method] This paper discussed the basic research and technical application of PSA technology at home and abroad, and analyzed the economy and prospect of PSA technology in petrochemical industry based on a practical application case of PSA technology for CO2 capture in a petrochemical enterprise.[Result] In this case, the project using PSA CO2 capture technology captured and stored about 800000 tons of medium-concentration carbon sources produced by the purification unit and low-temperature methanol washing unit of the coal-to-hydrogen plant. For 73.9% concentration of CO2 raw gas, the device achieved 96% CO2 recovery rate and 98% capture purity. H2S, CH4 and CH3OH are all controlled below 0.015%, which can achieve about 56 kWh/t CO2 capture power consumption. It is found that pressure swing adsorption technology has the advantages of low energy consumption, low piezoresistivity, continuous process and strong stability of adsorbent, which shows the technical and economic feasibility. Since pressure swing adsorption is mainly physical adsorption, PSA may face the problem of high energy consumption and insufficient enrichment concentration for the treatment of low concentration of CO2 feed gas. [Conclusion] In summary, PSA CO2 capture technology is suitable for the treatment of medium concentration carbon sources, and has potential in thetreatment of exhaust emissions in petrochemical, cement and other industries in the future.

Abstract Background The Persian walnut (Juglans regia), an economically vital species within the Juglandaceae family, has seen its mitochondrial genome sequenced and assembled in the current study using advanced Illumina and Nanopore sequencing technology. Results The 1,007,576 bp mitogenome of J. regia consisted of three circular chromosomes with a 44.52% GC content encoding 39 PCGs, 47 tRNA, and five rRNA genes. Extensive repetitive sequences, including 320 SSRs, 512 interspersed, and 83 tandem repeats, were identified, contributing to genomic complexity. The protein-coding sequences (PCGs) favored A/T-ending codons, and the codon usage bias was primarily shaped by selective pressure. Intracellular gene transfer occurred among the mitogenome, chloroplast, and nuclear genomes. Comparative genomic analysis unveiled abundant structure and sequence variation among J. regia and related species. The results of selective pressure analysis indicated that most PCGs underwent purifying selection, whereas the atp4 and ccmB genes had experienced positive selection between many species pairs. In addition, the phylogenetic examination, grounded in mitochondrial genome data, precisely delineated the evolutionary and taxonomic relationships of J. regia and its relatives. We identified a total of 539 RNA editing sites, among which 288 were corroborated by transcriptome sequencing data. Furthermore, expression profiling under temperature stress highlighted the complex regulation pattern of 28 differently expressed PCGs, wherein NADH dehydrogenase and ATP synthase genes might be critical in the mitochondria response to cold stress. Conclusions Our results provided valuable molecular resources for understanding the genetic characteristics of J. regia and offered novel perspectives for population genetics and evolutionary studies in Juglans and related woody species.

This study investigated the sustainability aspect of the fly ash (FA)-based one-part geopolymers (OPGs) with various combinations and amount of alkali activators (AA). The three groups of OPG were: the M-OPG activated with solely sodium metasilicate-anhydrous (Na2SiO3), the MH-OPG with Na2SiO3 and sodium hydroxide (NaOH), and the MC-OPG with Na2SiO3 and sodium carbonate (Na2CO3). The compressive strength, embodied carbon, embodied carbon index, embodied energy and embodied energy index were identified. Test result shows that the M-OPG and MC-OPG with the AA/FA ratio of 0.20 attained 83 MPa and 75 MPa of compressive strengths, respectively. The MH-OPG with AA/FA ratio of 0.15 attained 72 MPa of compressive strength. The embodied carbon and embodied energy of the OPGs were mainly contributed by the Na2SiO3-anhydrous. The values were lowered when the Na2SiO3-anhydrous were partially substituted with NaOH or Na2CO3. Increasing the AA content increased the embodied carbon and energy. The embodied carbon index (3.80 kg CO2/m3/MPa) and embodied energy index (14.72 MJ/m3/MPa) of the MC-OPG with AA/FA ratio of 0.20 were the lowest. The outcome of this study supports the utilisation of Na2CO3 to partially substitute Na2SiO3 for the development of OPGs.

Abstract A series of fourth‐order bandpass filters (BPFs) with compact footprints, broad bandwidth, high selectivity, linear phase and notched response are proposed. The sketch of these BPFs is in accordance with the combination of the eighth‐mode substrate integrated waveguide (EMSIW) and dual‐mode microstrip line (DMML) resonators. The DMML resonator is constructed by means of metallic via‐holes and pad in the double‐layered structures. Among them, the DMML resonator can provide two transmission poles. Besides, the cross coupling is introduced through the vertical slot or fan‐shaped aperture in the dual‐layered substrates. The coupling schemes of the proposed BPFs can introduce two transmission zeros in the vicinity of operating passband, and the coupled scheme also exhibits a relatively flat in‐band group delay. Notched frequency responses have been obtained by exploiting the U‐shaped resonator and folded‐ring resonator embedded with the mixed EMSIW and DMML BPFs. To validate the conceptual design, the proposed BPFs are simulated, fabricated and measured. Both the simulation and measurement have reached to a satisfactory agreement.

Evolution mechanism of interfacial multi-layer intermetallic compounds (IMCs) and their impact on failure behavior in Al–Au wire bonding after thermal storage and thermal cycle process are investigated. Microstructural analysis shows that multi-layer IMCs form between the Al wire and barrier layer. After thermal storage and thermal cycle process, the Au8Al3 layer transforms into AuAl2, and Au pad transforms to a thicker layer containing Au2Al and AuAl. Thermodynamic analysis indicates that Au8Al3, Au2Al, AuAl, and AuAl2 have increasing stability. Small-size, equiaxed AuAl2 grains form due to high stored energy, while large-size, columnar Au2Al and AuAl grains result from slower reaction rate and limited recrystallization. The stack-like formation of AuAl2 grains is attributed to the balance between driving force and interfacial energy resistance. During thermal storage, thicker IMC layers cause cracking between IMC layers and Au pad, and micro voids form near the IMC layers/barrier layer interface due to Kirkendall effect. Thermal stress results show that plastic deformation of the Al layer slightly affects the thermal stress in other layers during the thermal cycle process. The cyclic stress at the interface with initial cracks ranges from −157 MPa to 114 MPa, facilitating crack propagation. Additionally, micro void grows under cyclic thermal input, weakening interface adhesion. Therefore, bond strength decreases and frequency of bonding lift-off with cracking along the IMC layers/barrier layer interface increases after thermal storage and thermal cycle process. These results provide the guidance for regulating the interfacial IMCs and predicting the thermal stress in Al–Au wire bonding.

Objectives: With rising rates of maxillofacial fracture, postoperative infection following rigid internal fixation is an important issue that requires immediate resolution. It is important to explore an alternative antibacterial method apart from conventional antibiotics. A controlled experiment was conducted to evaluate the effectiveness of a caerin 1.9 peptide–coated titanium plate in reducing mandibular infection in New Zealand (NZ) rabbits, aiming to minimise the risk of post–metallic implantation infection. Methods: Twenty-two NZ rabbits were randomly divided into 3 groups. The experiment group received caerin 1.9 peptide–coated titanium plates and mixed oral bacteria exposure. The control group received normal titanium plates with mixed oral bacteria exposure. The untreated group served as a control to prove that bacteria in the mouth can cause infection. Weight, temperature, hepatic function, and C-reactive protein levels were measured. Wound and bone conditions were evaluated. Further analysis included local infection, anatomic conditions, histology, and bacterial load. Results: No significant differences were found in temperature, weight, blood alanine aminotransferase, and C-reactive protein levels amongst the 3 groups. The experiment group showed the lowest amount of bacterial RNA in wounds. Additionally, the experiment group had higher peripheral lymphocyte counts compared to the control group and lower neutrophil counts on the third and seventh day postoperatively. Histologic analysis revealed lower levels of inflammatory cell infiltration, bleeding, and areas of necrosis in the experimental group compared with the controls. Conclusions: A caerin 1.9–coated titanium plate is able to inhibit bacterial growth in a NZ rabbit mandibular mixed bacteria infection model and is worth further investigation.

Built-up land has increased rapidly in recent decades, thus aggravating the competition for land between multiple uses. The increase in urban land can be decomposed into changes in population and changes in built-up land per person. Yet, it is unclear how this decomposition differs by country and how this decomposition changes over time. Moreover, we don’t know whether these changes affect the inequality in built-up land per capita. Here, we analyze the global distribution of built-up land per capita in the year 2020, as well as the changes therein between 1985 and 2020. We find that built-up land per capita in 2020 differs by an order of magnitude between countries, ranging from 15 m2 per person in Ethiopia to 734 m2 per person in Australia. Moreover, we find a wide range of different change trajectories, including both increases and decreases in built-up land per capita and in total population. As the total area of urban land increased in all countries, decreases in urban land consumption reflect a situation where the population increases faster than the total amount of urban land. We also find a large inequality in urban land consumption across countries, as indicated by a Gini index of 0.47 in 1985, decreasing only slightly to 0.45 in 2020. These findings suggest the need for a regionally differentiated approach to reduce urban land take, focusing first on mitigating further increases in those countries that already have a high urban land consumption.

Abstract Background Patients with airway stenosis (AS) are associated with considerable morbidity and mortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML) models to predict AS requiring clinical intervention in patients after LTx. Methods Patients who underwent LTx between January 2017 and December 2019 were reviewed. The conventional logistic regression (LR) model was fitted by the independent risk factors which were determined by multivariate LR. The optimal ML model was determined based on 7 feature selection methods and 8 ML algorithms. Model performance was assessed by the area under the curve (AUC) and brier score, which were internally validated by the bootstrap method. Results A total of 381 LTx patients were included, and 40 (10.5%) patients developed AS. Multivariate analysis indicated that male, pulmonary arterial hypertension, and postoperative 6-min walking test were significantly associated with AS (all P

Abstract Objective Colorectal cancer (CRC) is a form of malignancy that exhibits a comparatively elevated occurrence and fatality rate. Given the relatively slower progress in diagnostic and therapeutic approaches for CRC, there is a need to investigate more accurate and efficient biomarkers. Methods Core regulatory genes were screened using the TCGA database, and the expression of neurexophilin 4 (NXPH4) and its prognostic implications were validated using tissue microarray staining. The assessment of NXPH4 functions involved a range of experiments, including cellular, organoid, and murine models. Furthermore, a regulatory network between m5C, NXPH4, and HIF1A was established through several in vitro experiments. Results The overexpression of NXPH4 is associated with unfavorable prognoses in patients with CRC and hepatocellular carcinoma. Additionally, it facilitates the progression of malignant tumors both in laboratory settings and in living organisms of colorectal carcinoma. Our research also reveals that NXPH4 mRNA can avoid degradation through RNautophagy, relying on an m5C-dependent mechanism. Moreover, NXPH4 amplifies the HIF signaling pathway and stabilizes HIF1A by competitively binding to PHD4. Conclusions NXPH4, regulated by m5C, promotes malignant tumor progression and regulates the HIF pathway. Consequently, targeting NXPH4 through molecular therapies could potentially serve as an efficacious therapeutic strategy for the management of CRC exhibiting elevated NXPH4 expression. Graphical abstract

Abstract The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing (DSP) schemes that are highly cost-effective with both high performance and low complexity. As benchmarks for nonlinear compensation methods, however, traditional DSP designed with block-by-block modules for linear compensations, could exhibit residual linear effects after compensation, limiting the nonlinear compensation performance. Here we propose a high-efficient design thought for DSP based on the learnable perspectivity, called learnable DSP (LDSP). LDSP reuses the traditional DSP modules, regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global scale. This method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP designs. In comparison to traditional DSP with hyperparameter optimization, a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation algorithm. Benefiting from the learnable model, LDSP can learn the best configuration adaptively with low complexity, reducing dependence on initial parameters. The proposed approach implements a symbol-rate DSP with a small bit error rate (BER) cost in exchange for a 48% complexity reduction compared to the conventional 2 samples/symbol processing. We believe that LDSP represents a new and highly efficient paradigm for DSP design, which is poised to attract considerable attention across various domains of optical communications.

Abstract Type II collagen (CII), a key component of cartilaginous tissues, offers an attractive option for fabricating biomimetic scaffolds that provide mechanical support and biochemical signals to facilitate cell adhesion, proliferation, and differentiation. Advances in fabrication technologies have enabled the creation of intricate and multicellular CII-based scaffolds that more accurately replicate the natural structure of tissues. Here, we review the application of CII in tissue engineering and highlight its crucial contributions to the regeneration of hyaline cartilage and intervertebral discs. Additionally, we discuss the versatile roles of CII in other biomedical applications, including disease modeling, bone regeneration, and the development of artificial immune organs.

The focus on clean energy has significantly increased in recent years, emphasizing eco-friendly sources like solar, wind, hydropower, geothermal, and biomass energy. Among these, wind energy, utilizing the kinetic energy from the wind, is distinguished by its economic competitiveness and environmental benefits, offering scalability and minimal operational emissions. It requires strategic turbine placement within wind farms to maximize energy conversion efficiency, a complex task involving the analysis of wind patterns, turbine spacing, and technology. This task has traditionally been tackled by meta-heuristic algorithms, which face challenges in balancing local exploitation with global exploration and integrating problem-specific knowledge into the search mechanism. To address these challenges, an innovative power generation accumulation-based adaptive chaotic differential evolution algorithm (ACDE) is proposed, enhancing the conventional differential evolution approach with an adaptive chaotic local search and a wind turbine adjustment strategy based on tournament selection. This strategy aimed to prioritize energy-efficient turbine positions and improve population diversity, thereby overcoming the limitations of existing meta-heuristic algorithms. Comprehensive experiments with varying wind rose configurations demonstrated ACDE's superior performance in energy conversion efficiency, showcasing its potential in optimizing wind turbine placement for enhanced clean energy production. The wind farm layout optimization competition hosted by the Genetic and Evolutionary Computation Conference provided a comprehensive set of complex wind farm layouts. This dataset was utilized to further validate the performance of the algorithms. The results unequivocally demonstrate the superiority of ACDE when tackling complex optimization problems.

Bear bile has been a valuable and effective medicinal material in traditional Chinese medicine (TCM) for over 13 centuries. However, the current practice of obtaining it through bear farming is under scrutiny for its adverse impact on bear welfare. Here, we present a new approach for creating artificial bear bile (ABB) as a high-quality and sustainable alternative to natural bear bile. This study addresses the scientific challenges of creating bear bile alternatives through interdisciplinary collaborations across various fields, including resources, chemistry, biology, medicine, pharmacology, and TCM. A comprehensive efficacy assessment system that bridges the gap between TCM and modern medical terminology has been established, allowing for the systematic screening of therapeutic constituents. Through the utilization of chemical synthesis and enzyme engineering technologies, our research has achieved the environmentally friendly, large-scale production of bear bile therapeutic compounds, as well as the optimization and recomposition of ABB formulations. The resulting ABB not only closely resembles natural bear bile in its composition but also offers advantages such as consistent product quality, availability of raw materials, and independence from threatened or wild resources. Comprehensive preclinical efficacy evaluations have demonstrated the equivalence of the therapeutic effects from ABB and those from commercially available drained bear bile (DBB). Furthermore, preclinical toxicological assessment and phase I clinical trials show that the safety of ABB is on par with that of the currently used DBB. This innovative strategy can serve as a new research paradigm for developing alternatives for other endangered TCMs, thereby strengthening the integrity and sustainability of TCM.

Abstract Particle migration in oil and gas reservoirs is a common phenomenon in the process of oil and gas development, and is considered to be an important reason for the damage of reservoir permeability and the reduction of oil and gas productivity. The mechanism of this phenomenon includes the desorption, migration, and precipitation of particles, which eventually clogs the throat and causes reservoir damage. Therefore, it is necessary to accurately characterize the complex mechanism of particle migration and identify the main controlling factors of particle migration, which is very important for efficient oilfield development and plugging solution. First, the reservoir types are divided into three types and the pore structure models of different types of reservoirs are established. Then, computational fluid dynamics and discrete element coupling method numerical simulation and microscopic visualization of pore throat structure model were combined, to characterize the rules of particles and migration, and analyze the main controlling factors. Finally, a typical model of particle migration and clogging is established. The results show that particle size/throat and particle concentration are the key factors affecting particle plugging, and particle migration has the least effect on the permeability of Type I reservoir and the greatest damage to Type III reservoir. According to the mechanical and hydrodynamic behavior of particles in porous media, three mechanisms and six modes of particle plugging are proposed.

Abstract Background The incidence of pneumothorax is higher in patients with emphysema who undergo percutaneous lung biopsy. Needle embolization has been shown to reduce the incidence of pneumothorax in patients with emphysema. Existing studies have reported small sample sizes of patients with emphysema, or the degree of emphysema has not been graded. Therefore, the efficacy of biopsy embolization in the prevention of pneumothorax induced by percutaneous pulmonary biopsy in patients with emphysema remains to be determined. Methods In this retrospective, controlled study, patients with emphysema who underwent CT-guided PTLB were divided into two groups: group A (n = 523), without tract embolization, and Group B (n = 504), with tract embolization. Clinical and imaging features were collected from electronic medical records and Picture Archiving and Communication Systems. Univariate and multivariate analyses were performed to identify risk factors for pneumothorax and chest tube placement. Results The two groups did not differ significantly in terms of demographic characteristics and complications other than pneumothorax. The incidence of pneumothorax and chest tube placement in group B was significantly lower than in group A (20.36% vs. 46.12%, p

Abstract Objective Previous studies have revealed associations between sleep quality and mental health, yet the comprehensive role of sleep quality, daytime dysfunction, social exclusion, and self-control in difficulties with emotion regulation remains unclear. This study aimed to elucidate how sleep quality affects emotion regulation difficulties among middle school students through pathways involving daytime dysfunction, social exclusion, and self-control, thereby providing a more comprehensive theoretical basis for mental health interventions. Methods Utilizing the pittsburgh sleep quality index, the adolescent social exclusion scale, the brief self-control scale, and emotion regulation scale-short form, we assessed 1067 students randomly selected from four middle schools from October to November 2023. After the removal of extreme values (those exceeding 3 standard deviations), 806 students were retained for data analysis. Results Our findings indicate that poor sleep quality significantly contributes to increased daytime dysfunction(β = 0.86, SE = 0.07, p

Abstract Inherited non-hemolytic anemia is a group of rare bone marrow disorders characterized by erythroid defects. Although concerted efforts have been made to explore the underlying pathogenetic mechanisms of these diseases, the understanding of the causative mutations are still incomplete. Here we identify in a diseased pedigree that a gain-of-function mutation in toll-like receptor 8 (TLR8) is implicated in inherited non-hemolytic anemia. TLR8 is expressed in erythroid lineage and erythropoiesis is impaired by TLR8 activation whereas enhanced by TLR8 inhibition from erythroid progenitor stage. Mechanistically, TLR8 activation blocks annexin A2 (ANXA2)-mediated plasma membrane localization of STAT5 and disrupts EPO signaling in HuDEP2 cells. TLR8 inhibition improves erythropoiesis in RPS19 +/− HuDEP2 cells and CD34+ cells from healthy donors and inherited non-hemolytic anemic patients. Collectively, we identify a gene implicated in inherited anemia and a previously undescribed role for TLR8 in erythropoiesis, which could potentially be explored for therapeutic benefit in inherited anemia.

Background/purpose: Periodontal breakdown in periodontitis is exacerbated by pro-inflammatory responses of periodontal stromal cells such as periodontal ligament fibroblasts (PDLFs). Procyanidin B2 (PB2) is a ligand of the peroxisome proliferator-activated receptor (PPARγ). Herein, we investigated the expression of PPARγ isoforms in PDLFs and periodontal tissue, and examined the effects of PB2 on PPARγ isoform-dependent antiinflammatory responses. Materials and methods: PPARγ isoforms were examined by PCR. PPARγ isoform-dependent inflammatory functions and anti-inflammatory effects of PB2 in PDLFs were evaluated based on IL-6 expression. Co-immunoprecipitation analysis of fixed chromatin-tethered protein (CoIPfctp) was conducted to investigate the association of each PPARγ isoform with the NF-κB-transcriptional complex. The effects of PB2 on periodontitis progression were evaluated using a ligature-induced murine periodontitis model. Results: Three isoforms of PPARγ were expressed in PDLFs and periodontal tissues, consisting of the main full-length isoform (PPARγ) and two dominant negative isoforms that lack the ligand binding domain, namely the ubiquitously-expressed isoform (PPARγ-UBI) and unknown isoform (PPARγ-PDL). PPARγ and PPARγ-UBI were predominantly expressed. CoIP-fctp revealed that PPARγ-UBI was selectively associated with NF-κB p65, a key transcriptional factor of IL-6 expression. PB2 suppressed LPS-induced-IL-6 expression exacerbated by the over-expression of PPARγ-UBI. In the murine periodontitis model, topical application of PB2 significantly mitigated alveolar bone loss. Conclusion: These results suggest that the anti-inflammatory effects of PB2 in periodontal tissues/cells are distinct, and these effects arise from the inhibition of PPARγ-UBI; hence, the application of PB2 and modification of the splicing event in three PPARγ isoforms have therapeutic potential for preventing periodontitis.