Mechanical and structural features of three AcSp proteins underlie the diverse material properties of aciniform silks of Neoscona spiders.

Spider silks are desirable multicomponent biomaterials characterized by great tensile strength, extensibility, and biocompatibility. Of all spider silk types, aciniform silk has highest toughness due to its combination of high tensile strength and elsticity. Here, we identify three major spidroin components (AcSp1A, AcSp1B, and AcSp2) from aciniform silk of orbweb weaving spider, Neoscona scylloides, and present their full-length coding gene sequences. Comparative sequence and expression level analysis show that AcSp1B has highest expression level and higher serine content than other two AcSp proteins, while the AcSp2 shows very low mRNA level. Furthermore, three recombinant minimalist AcSp proteins are produced and could be induced to form fibers by shear forces in a physiological buffer. The manual-drawn AcSp1B fiber shows strongest tensile strength among three AcSp fibers because of its higher ß-sheet formed by abundant serine content. We also compare mechanical properties of aciniform silks between two Neoscona species (N. theisi and N. scylloides) and found that aciniform silks from N. theisi exhibit higher tensile strength than those of N. scylloides, which may result from altering expression levels of two AcSp1 proteins. Collectively, our results provide insights into the mechanical features of each component in aciniform silk from N. scylloides and reveal the molecular mechanism of diverse material properties of aciniform silk among species.

Bacterial communities in Asecodes hispinarum (Hymenoptera: Eulophidae) and its host Brontispa longissima (Coleoptera: Chrysomelidae), with comparison of Wolbachia dominance.

The endoparasitoid Asecodes hispinarum (Boucek) (Hymenoptera: Eulophidae) serves as an effective biological control agent against Brontispa longissima (Gestro) (Coleoptera: Chrysomelidae), a notorious palm pest. Endosymbionts found in parasitoids and their hosts have attracted significant attention due to their substantial influence on biocontrol efficacy. In this study, we employed 16S rRNA sequencing, polymerase chain reaction, and fluorescence in situ hybridization to assess the symbiotic bacteria composition, diversity, phylogeny, and localization in A. hispinarum and its host B. longissima. Our findings showed significant differences in the richness, diversity, and composition of symbiotic bacteria among different life stages of B. longissima. Notably, the bacterial richness, diversity, and composition of A. hispinarum was similar to that of B. longissima. Firmicutes and Proteobacteria were the dominant phyla, while Wolbachia was the dominant genera across the parasitoid and host. It was discovered for the first time that Wolbachia was present in A. hispinarum with a high infection rate at ≥ 96.67%. Notably, the Wolbachia strain in A. hispinarum was placed in supergroup A, whereas it was categorized under supergroup B in B. longissima. Furthermore, Wolbachia is concentrated in the abdomen of A. hispinarum, with particularly high levels observed in the ovipositors of female adults. These findings highlight the composition and diversity of symbiotic bacteria in both A. hispinarum and its host B. longissima, providing a foundation for the development of population regulation strategies targeting B. longissima.

Quercetin Promotes the M1-to-M2 Macrophage Phenotypic Switch During Liver Fibrosis Treatment by Modulating the JAK2/STAT3 Signaling Pathway.

OBJECTIVE: To investigate the underlying mechanism by which quercetin (Que) regulates macrophage polarization and its subsequent therapeutic effect on liver fibrosis, an important pathological precondition for hepatocellular carcinoma (HCC). METHODS: In vitro experiments were performed on the RAW264.7 mouse macrophage line. After the induction of M1-type macrophages with LPS, the effects of Que on cell morphology, M1/M2 surface marker expression, cytokine expression, and JAK2/STAT3 expression were analyzed. In vivo, male SD rats were used as a model of CCL4-induced hepatic fibrosis, and the effects of Que on serum aminotransferase levels, the histopathological structure of liver tissues, and macrophage-associated protein expression in liver tissues were analyzed. RESULTS: In vitro experiments revealed that Que can suppress the activation of the JAK2/STAT3 signaling pathway, leading to decreases in the expression of M1 macrophage surface markers and cytokines. Additionally, Que was found to increase the expression of M2 macrophage surface markers and cytokines. In vivo, assays demonstrated that Que significantly ameliorated the development of inflammation and fibrosis in a rat liver fibrosis model. CONCLUSION: Que can inhibit hepatic fibrosis by promoting M1 to M2 macrophage polarization, which could be associated with its ability to suppress the JAK2/STAT3 signaling pathway in macrophages.

Analysis of factors influencing the occurrence of diabetes insipidus following neuroendoscopic transsphenoidal resection of pituitary adenomas and risk assessment.

Objective: Studies have revealed a higher prevalence of diabetes insipidus in patients following resection of pituitary adenoma surgery. By comprehensively analysing the clinical history of patients undergoing endoscopic transnasal sphenoidal resection for pituitary adenomas, the factors influencing development of postoperative diabetes insipidus were investigated and a predictive model was developed to assess its risk. Methods: A retrospective analysis was conducted on the medical records of 281 patients with pituitary adenomas who underwent neuroendoscopic transsphenoidal resection at our institution between October 2020 and October 2022. The Mann-Whitney U test, chi-square test, and logistic regression analysis were used to identify the independent factors that potentially contribute to the development of postoperative diabetes insipidus. Additionally, a nomogram was constructed to evaluate the predicted risk of postoperative diabetes insipidus in patients with pituitary adenomas. Results: Diabetes insipidus occurred in 100 (35.59 %) of the 281 enrolled patients. The results of the multifactorial logistic regression analysis revealed that diabetes, hypertension, cardiopathy, preoperative serum cortisol level, cerebrospinal fluid leakage, and tumour texture independently influenced the occurrence of postoperative diabetes insipidus (P < 0.05). A nomogram was developed to evaluate the risk of postoperative diabetes insipidus in patients with pituitary adenoma. Conclusions: Multiple independent risk factors associated with the patient and tumour were identified in predicting diabetes insipidus. Early recognition of these risk factors may contribute to the prevention or reduction of diabetes insipidus incidence following pituitary adenoma surgery.

Electroacupuncture inhibits hippocampal oxidative stress and autophagy in sleep-deprived rats through the protein kinase B and mechanistic target of rapamycin signaling pathway.

OBJECTIVE: To investigate the effects of acupuncture on learning and memory impairment, oxidative stress and autophagy induced by sleep depriv ation in rats, and to analyze the related mechanism. METHODS: Thirty Wistar rats were randomly divided into a normal group, sleep deprivation group and acupuncture group. The rat model of sleep deprivation was established by a modified multiplatform sleep deprivation method. The Baihui (GV20), Shenmen (HT7) and Sanyinjiao (SP6) acupoints of rats were located to give electroacupuncture (density wave, frequency 20 Hz, intensity 1 mA) to maintain the needle feeling, and to keep the needle for 15 min and continuous acupuncture for 7 d. The spatial learning and memory abilities of the rats were detected by the water maze test. The content of malondialdehyde (MDA) and the activities of superoxide dismutase (SOD) and glutathione peroxidase (GPX) in the brain were detected by an assay kit, and the autophagy related proteins light chain 3 alpha (LC3A), light chain 3 beta (LC3B) and Beclin 1 and the activation of the protein kinase B (PKB/AKT) and mechanistic target of rapamycin (mTOR) signaling pathway in the rat's brain were detected by Western blotting. RESULTS: Compared with the normal group, the time spent in the target quadrant (P < 0.05) and the number of times entering the target quadrant (P < 0.05) in the rats of sleep deprivation group were significantly reduced, and the content of MDA was significantly increased (P < 0.01), while the activities of SOD and GPX (P < 0.01) in the brain were significantly decreased, and LC3A Ⅱ/Ⅰ, LC3B Ⅱ/Ⅰ and Beclin 1 increased significantly (P < 0.01), while p-AKT (ser473)/AKT, p-mTOR (ser2448)/mTOR and p-p70s6K (thr389)/p70S6 decreased significantly (P < 0.01). Compared with the sleep deprivation group, the time spent in the target quadrant and the times of entering the target quadrant (P < 0.05) in the rats of acupuncture group after 7 d of treatment were significantly increased, Additionally, the content of MDA was significantly decreased (P < 0.05), while the activities of SOD and GPX (P < 0.05) in the brain were significantly increased. Moreover, the levels of LC3A Ⅱ/Ⅰ, LC3BⅡ/Ⅰ and Beclin 1 decreased significantly (P < 0.05), and that of p-AKT (ser473)/AKT, p-mTOR (ser2448)/mTOR and p-p70s6K (thr389)/p70s6k increased significantly (P < 0.05). CONCLUSION: Acupuncture can significantly improve the learning and memory damage caused by sleep deprivation and inhibit oxidative stress and autophagy, and its effect is related to the activation of AKT/mTOR signaling.

Artificial Intelligence Application for Anti-tumor Drug Synergy Prediction.

Currently, the main therapeutic methods for cancer include surgery, radiation therapy, and chemotherapy. However, chemotherapy still plays an important role in tumor therapy. Due to the variety of pathogenic factors, the development process of tumors is complex and regulated by many factors, and the treatment of a single drug is easy to cause the human body to produce a drug-resistant phenotype to specific drugs and eventually leads to treatment failure. In the process of clinical tumor treatment, the combination of multiple drugs can produce stronger anti-tumor effects by regulating multiple mechanisms and can reduce the problem of tumor drug resistance while reducing the toxic side effects of drugs. Therefore, it is still a great challenge to construct an efficient and accurate screening method that can systematically consider the synergistic anti- tumor effects of multiple drugs. However, anti-tumor drug synergy prediction is of importance in improving cancer treatment outcomes. However, identifying effective drug combinations remains a complex and challenging task. This review provides a comprehensive overview of cancer drug synergy therapy and the application of artificial intelligence (AI) techniques in cancer drug synergy prediction. In addition, we discuss the challenges and perspectives associated with deep learning approaches. In conclusion, the review of the AI techniques' application in cancer drug synergy prediction can further advance our understanding of cancer drug synergy and provide more effective treatment plans and reasonable drug use strategies for clinical guidance.

Intimal Injury Potentially Plays a Key Role in the Formation of Carotid Artery Dissection: A Novel Animal Model Establishing.

Research on the pathophysiological mechanism of carotid artery dissection and its clinical translation is limited due to the lack of effective animal models to simulate the occurrence of this condition. Assuming that intimal injury is an important factor in the formation of carotid dissection, we established a novel method for inducing carotid dissection models by scraping the carotid intima using a fine needle. Scraping the carotid intima with fine needles can induce the rapid formation of carotid dissection. Magnetic resonance imaging and hematoxylin-eosin staining suggest the presence of false lumens and mural hematomas in the vessels. Our model-induction technique, inspired by iatrogenic catheter-induced artery dissections (carotid, coronary, aortic), significantly mimics the pathological process of clinical carotid dissection. The results suggest that mechanical injury may be a significant cause of carotid dissection and that intimal injury is a major factor in the formation of arterial dissections. This approach will provide assistance in the understanding of medically induced arterial dissection.

Developmental Toxicity and Apoptosis in Zebrafish: The Impact of Lithium Hexafluorophosphate (LiPF6) from Lithium-Ion Battery Electrolytes.

With the growing dependence on lithium-ion batteries, there is an urgent need to understand the potential developmental toxicity of LiPF6, a key component of these batteries. Although lithium's toxicity is well-established, the biological toxicity of LiPF6 has been minimally explored. This study leverages the zebrafish model to investigate the developmental impact of LiPF6 exposure. We observed morphological abnormalities, reduced spontaneous movement, and decreased hatching and swim bladder inflation rates in zebrafish embryos, effects that intensified with higher LiPF6 concentrations. Whole-mount in situ hybridization demonstrated that the specific expression of the swim bladder outer mesothelium marker anxa5b was suppressed in the swim bladder region under LiPF6 exposure. Transcriptomic analysis disclosed an upregulation of apoptosis-related gene sets. Acridine orange staining further supported significant induction of apoptosis. These findings underscore the environmental and health risks of LiPF6 exposure and highlight the necessity for improved waste management strategies for lithium-ion batteries.

Developing an institutional control framework for contaminated sites in China: An analytical case study.

Institutional controls, as an important measure for risk management of contaminated sites, is widely used in site management by the United States, Canada and European countries. At present, some regions in China have also begun to explore the implementation of institutional controls, but its path, safeguard mechanism, and tracking evaluation are still unclear. Based on China's unique contaminated site remediation control system and land management system, this paper proposes a framework for the whole life cycle institutional controls of China's contaminated sites: (1) evaluate the need for institutional controls; (2) establish the objectives of institutional controls; (3) identify the restrictive requirements of institutional controls; (4) establish the implementation form of institutional controls; and (5) regularly review the effectiveness of institutional controls. To demonstrate the applicability of the institutional control framework, a case demonstration study was conducted at a petrochemical contaminated site in China. By analyzing the information on residual pollutants after the implementation of risk management measures at the site, the exposure pathways and hazards in case of re-release, and the engineering facilities, we proposed eight restrictive requirements, including the prohibition of disturbing and damaging the clean and planted soil layers of the site and the protection of long-term monitoring wells. At the same time, we constructed a multi-departmental pathway to implement institutional controls in conjunction with ecological environment, natural resources and housing departments to ensure effective implementation of institutional controls. Eventually, we summarized a set of replicable and generalizable institutional controls application models, which provide valuable theoretical and practical support for China and other local governments in the implementation of institutional controls at contaminated sites.

miR-93-5p impairs autophagy-lysosomal pathway via TET3 after subarachnoid hemorrhage.

Intact autophagy-lysosomal pathway (ALP) in neuronal survival is crucial. However, it remains unclear whether ALP is intact after subarachnoid hemorrhage (SAH). Ten-eleven translocation (TET) 3 primarily regulates genes related to autophagy in neurons in neurodegenerative diseases. This study aims to investigate the role of TET3 in the ALP following SAH. The results indicate that the ALP is impaired after SAH, with suppressed autophagic flux and an increase in autophagosomes. This is accompanied by a decrease in TET3 expression. Activation of TET3 by α-KG can improve ALP function and neural function to some extent. Silencing TET3 in neurons significantly inhibited the ALP function and increased apoptosis. Inhibition of miR-93-5p, which is elevated after SAH, promotes TET3 expression. This suggests that the downregulation of TET3 after SAH is, at least in part, due to elevated miR-93-5p. This study clarifies the key role of TET3 in the functional impairment of the ALP after SAH. The preliminary exploration revealed that miR-93-5p could lead to the downregulation of TET3, which could be a new target for neuroprotective therapy after SAH.

Inflammatory factors and the risk of urolithiasis: a bidirectional Mendelian randomization study.

Background: Urolithiasis is a prevalent condition encountered in urology. Over the past decade, its global incidence has been on an upward trajectory; paired with a high recurrence rate, this presents considerable health and economic burdens. Although inflammatory factors are pivotal in the onset and progression of urolithiasis, their causal linkages remain elusive. Method: Mendelian randomization (MR) is predicated upon genome-wide association studies (GWASs). It integrates bioinformatics analyses to reveal causal relationships between exposures and outcomes, rendering it an effective method with minimized bias. Drawing from a publicly accessible GWAS meta-analysis comprising 8,293 samples, we identified 41 genetic variations associated with inflammatory cytokines as instrumental variables. Outcome data on upper urinary tract stones, which included renal and ureteral stones (9,713 cases and 366,693 controls), and lower urinary tract stones, including bladder and urethral stones (1,398 cases and 366,693 controls), were derived from the FinnGen Consortium R9 dataset. By leveraging the bidirectional MR methodology, we aimed to decipher the causal interplay between inflammatory markers and urolithiasis. Results: Our study comprehensively elucidated the association between genetic inflammatory markers and urolithiasis via bidirectional Mendelian randomization. Post-MR analysis of the 41 genetic inflammation markers revealed that elevated levels of circulating interleukin-2 (IL-2) (OR = 0.921, 95% CI = 0.848-0.999) suggest a reduced risk for renal stone disease, while heightened stem cell growth factor beta (SCGF-ß) (OR = 1.150, 95% CI = 1.009-1.310) and diminished macrophage inflammatory protein 1 beta (MIP-1ß) (OR = 0.863, 95% CI = 0.779-0.956) levels suggest an augmented risk for lower urinary tract stones. Furthermore, renal stone disease appeared to elevate IL-2 (ß = 0.145, 95% CI = 0.013-0.276) and cutaneous T cell-attracting chemokine (CTACK) (ß = 0.145, 95% CI = 0.013-0.276) levels in the bloodstream, whereas lower urinary tract stones were linked to a surge in interleukin-5 (IL-5) (ß = 0.142, 95% CI = 0.057-0.226), interleukin-7 (IL-7) (ß = 0.108, 95% CI = 0.024-0.192), interleukin-8 (IL-8) (ß = 0.127, 95% CI = 0.044-0.210), growth regulated oncogene alpha (GRO-α) (ß = 0.086, 95% CI = 0.004-0.169), monokine induced by interferon-gamma (MIG) (ß = 0.099, 95% CI = 0.008-0.191) and macrophage inflammatory protein 1 alpha (MIP-1α) (ß = 0.126, 95% CI = 0.044-0.208) levels. Conclusion: These discoveries intimate the instrumental role of IL-2 in the onset and progression of upper urinary tract stones. SCGF-ß and MIP-1ß influence the development of lower urinary tract stones. Urolithiasis also impacts the expression of cytokines such as IL-2, CTACK, IL-5, IL-7, IL-8, GRO-α, MIG, and MIP-1α. There is a pressing need for further investigation to ascertain whether these biomarkers can be harnessed to prevent or treat urolithiasis.

Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor.

BACKGROUND AND OBJECTIVE: Continuous prediction of late-onset sepsis (LOS) could be helpful for improving clinical outcomes in neonatal intensive care units (NICU). This study aimed to develop an artificial intelligence (AI) model for assisting the bedside clinicians in successfully identifying infants at risk for LOS using non-invasive vital signs monitoring. METHODS: In a retrospective study from the NICU of the Máxima Medical Center in Veldhoven, the Netherlands, a total of 492 preterm infants less than 32 weeks gestation were included between July 2016 and December 2018. Data on heart rate (HR), respiratory rate (RR), and oxygen saturation (SpO2) at 1 Hz were extracted from the patient monitor. We developed multiple AI models using 102 extracted features or raw time series to provide hourly LOS risk prediction. Shapley values were used to explain the model. For the best performing model, the effect of different vital signs and also the input type of signals on model performance was tested. To further assess the performance of applying the best performing model in a real-world clinical setting, we performed a simulation using four different alarm policies on continuous real-time predictions starting from three days after birth. RESULTS: A total of 51 LOS patients and 68 controls were finally included according to the patient inclusion and exclusion criteria. When tested by seven-fold cross-validations, the mean (standard deviation) area under the receiver operating characteristic curve (AUC) six hours before CRASH was 0.875 (0.072) for the best performing model, compared to the other six models with AUC ranging from 0.782 (0.089) to 0.846 (0.083). The best performing model performed only slightly worse than the model learning from raw physiological waveforms (0.886 [0.068]), successfully detecting 96.1 % of LOS patients before CRASH. When setting the expected alarm window to 24 h and using a multi-threshold alarm policy, the sensitivity metric was 71.6 %, while the positive predictive value was 9.9 %, resulting in an average of 1.15 alarms per day per patient. CONCLUSIONS: The proposed AI model, which learns from routinely collected vital signs, has the potential to assist clinicians in the early detection of LOS. Combined with interpretability and clinical alarm management, this model could be better translated into medical practice for future clinical implementation.

Acute treatment of bilateral rTMS combined with antidepressants on the plasma fatty acids for major depressive episodes.

Bilateral repetitive transcranial magnetic stimulation (B-rTMS) has been largely used in the treatment of major depressive disorder (MDD). Nonetheless, information on the acute treatment by B-rTMS combined with antidepressants (ADs) on the plasma fatty acids in MDD is limited. The present study focused on depressive symptoms; Plasma was obtained from 27 adult patients with MDD at baselinephase (MDD), after 2 weeks of treatment (MDD-2w), and 27 healthy controls (HC). Meanwhile, we evaluated the composition of short-chain fatty acids (SCFAs) and medium-and long-chain fatty acids (MLCFAs) in the plasma. Consequently, the levels of Isobutyric acid, Caproic acid, and Propionic acid were low both in the MDD and MDD-2w groups and negatively correlated with the scores of HAMD and HAMA. Besides, minimal changes were observed between the MDD and HC groups, whereas significant MLCFA levels were high in the MDD-2w group. Moreover, we developed combined panels that could effectively differentiate MDD from HCs (AUC=0.99), MDD-2w from HC (AUC=0.983), and MDD from MDD-2w (AUC=0.852). These findings may provide a reference for the use of B-rTMS combined with ADs against the acute phase of depressive episodes and shed light on the relationship between plasma FAs and MDD.

16S rRNA gene sequencing reveals altered gut microbiota in young adults with schizophrenia and prominent negative symptoms.

BACKGROUND: Gut dysbiosis has been established as a characteristic of schizophrenia (SCH). However, the signatures regarding SCH patients with prominent negative symptoms (SCH-N) in young adults have been poorly elucidated. METHODS: Stool samples were obtained from 30 young adults with SCH-N, 32 SCH patients with prominent positive symptoms (SCH-P) along with 36 healthy controls (HCs). Microbial diversity and composition were analyzed by 16S rRNA gene sequencing. Meanwhile, psychiatric symptoms were assessed by the positive and negative syndrome scale (PANSS). RESULTS: There is a significant difference in ß-diversity but not α-diversity indexes among the three groups. Moreover, we found a higher abundance of Fusobacteria and Proteobacteria phyla and a lower abundance of Firmicutes phyla in SCH-N when compared with HC. Besides, we identified a diagnostic potential panel comprising six genera (Coprococcus, Monoglobus, Prevotellaceae_NK3B31_group, Escherichia-Shigella, Dorea, and Butyricicoccus) that can distinguish SCH-N from HC (area under the curve = 0.939). However, the difference in microbial composition between the SCH-N and SCH-P is much less than that between SCH-N and the HC, and SCH-N and SCH-P cannot be effectively distinguished by gut microbiota. CONCLUSION: The composition of gut microbiota was changed in the patients with SCH-N, which may help in further understanding of pathogenesis in young adults with SCH-N.

Real-time channel selection in multi-mode multiplexing optical interconnection implemented by hybrid algorithm and material system.

Multi-mode multiplexing optical interconnection (MMOI) has been widely used as a new technology that can significantly expand communication bandwidth. However, the constant-on state of each channel in the existing MMOI systems leads to serious interference for receivers when extracting and processing information, necessitating introducing real-time selective-on function for each channel in MMOI systems. To achieve this goal, combining several practical requirements, we propose a real-time selective mode switch based on phase-change materials, which can individually tune the passing/blocking of different modes in the bus waveguide. We utilize our proposed particle swarm optimization algorithm with embedded neural network surrogate models (NN-in-PSO) to design this mode switch. The proposed NN-in-PSO significantly reduces the optimization cost, enabling multi-dimensional simultaneous optimization. The resulting mode switch offers several advantages, including ultra-compactness, rapid tuning, nonvolatility, and large extinction ratio. Then, we demonstrate the real-time channel selection function by integrating the mode switch into the MMOI system. Finally, we prove the fabricating robustness of the proposed mode switch, which paves the way for its large-scale application.

Starting with screening strains to construct synthetic microbial communities (SynComs) for traditional food fermentation.

With the elucidation of community structures and assembly mechanisms in various fermented foods, core communities that significantly influence or guide fermentation have been pinpointed and used for exogenous restructuring into synthetic microbial communities (SynComs). These SynComs simulate ecological systems or function as adjuncts or substitutes in starters, and their efficacy has been widely verified. However, screening and assembly are still the main limiting factors for implementing theoretic SynComs, as desired strains cannot be effectively obtained and integrated. To expand strain screening methods suitable for SynComs in food fermentation, this review summarizes the recent research trends in using SynComs to study community evolution or interaction and improve the quality of food fermentation, as well as the specific process of constructing synthetic communities. The potential for novel screening modalities based on genes, enzymes and metabolites in food microbial screening is discussed, along with the emphasis on strategies to optimize assembly for facilitating the development of synthetic communities.

Removal of ciprofloxacin by biosulfurized nano zero-valent iron (BP-S-nZVI) activated peroxomonosulfate: Influencing factors and degradation mechanism.

Agglomeration and passivation restrict the using zero-valent iron nanoparticles (nZVI). Enhancing the reactivity of nZVI is often accomplished by sulfurization. In this work, nZVI was sulfurized using SRB to produce biosulfurized nano zero-valent iron (BP-S-nZVI), which was then utilized as a catalyst to investigating its performance in an advanced oxidation process based on activated peroxomonosulfate (PMS). When the S/Fe was 0.05, 0.4 g/L of catalyst and 0.5 mM PMS were added to a 20 mg/L ciprofloxacin solution. In 120 min, a 90.4% clearance rate was reached. When the initial pH of the solution was within the range of 3-11, all exhibited acceptable degradation performance and were minimally affected by co-existing anions. In this activation system, hydroxyl, superoxide and sulfate radicals (•OH, O2•- and SO4•-, respectively) have been proven to be the main active species. Seven intermediates in the degradation process of CIP were identified by LC-MS analysis and two possible degradation pathways were proposed. In addition, the degradation rate of CIP was still able to reach 87.0% after five cycles, and the removal rate remained unchanged in the CIP solution with actual water samples as background. This study demonstrated that BP-S-nZVI as a catalyst for the activation of PMS for CIP degradation can still show good reactivity, which provides more possibilities for the practical application of BP-S-nZVI in the degradation of pollutants.