Simultaneous and sensitive detection of methylparaben and its metabolites by using molecularly imprinted solid-phase microextraction fiber array technique.

BACKGROUND: Methylparaben (MP), a commonly used antibacterial preservative, is widely used in personal care products, foods, and pharmaceuticals. MP and its metabolites are easy to enter the water environment, and their exposure and accumulation have negative effects on the ecological environment and human health, and have endocrine disrupting activity and potential physiological toxicity. It is still the primary issue of environmental analysis and ecological risk assessment to develop simple and reliable methods for simultaneous sensitive detection of these compounds in environmental water. RESULTS: In this paper, a flexible molecularly imprinted fiber array strategy is proposed for simultaneous enrichment and detection of trace MP and its four main metabolites. The experimental results showed that the three-fiber imprinted fiber array constructed by MP imprinted fiber had the best effect on the simultaneous enrichment of these five target analytes. The enrichment capacity of the imprinted fiber array was 214-456 times, 314-1201 times and 38-685 times that of commercial PA, PDMS and PDMS/DVB fiber arrays, respectively. The limit of detection (LOD) of this method was 0.033 µg L-1. The spiked recovery rate was 86.78-113.96 %, and RSD was less than 9.17 %. In addition, this molecularly imprinted SPME fiber array has good stability, long service life and can be used repeatedly at least 100 times. SIGNIFICANCE: This molecularly imprinted fiber array strategy can flexibly assemble different molecularly imprinted SPME fibers together, effectively improve the enrichment ability and detection sensitivity, and achieve simultaneous selective enrichment and detection of several analytes. This is an easy, efficient and reliable method for monitoring several trace analytes simultaneously in intricate environmental matrices.

Relationship among core competency, self-efficacy and transition shock in Chinese newly graduated nurses: a cross-sectional study.

OBJECTIVES: To investigate how core competency and self-efficacy of newly graduated nurses affect their experience of transition shock, and to determine the relationship between these factors. DESIGN: A cross-sectional study. METHODS: 262 newly graduated nurses participated in a cross-sectional study by using demographic data, the transition shock scale, the competency inventory for registered nurses scale and the self-efficacy scale. RESULTS: Among newly graduated nurses, the score of transition shock was 77.641±24.140, the score of core competency was 125 (109.5, 163.5) and the score of self-efficacy was 2.5 (2,3), all of which were at a moderate level. The core competency and self-efficacy of the newly graduated nurses had a negative impact on the transition shock (ß=-0.151, p=0.026; ß=-0.379, p<0.001). Additionally, self-efficacy played a mediating role in the relationship between core competency and transition shock, with a mediating effect accounting for 57.34% of the total effect. CONCLUSIONS: The transition shock of newly graduated nurses was at a moderate level, with the highest level of transition shock occurring within the first year of employment. Self-efficacy plays a mediating role in the relationship between core competency and transition shock. Nursing managers should create standardised training for newly graduated nurses within the first year of employment to reduce their transition shock. This will help improve newly graduated nurses' core competency, enhance self-efficacy and support the graduates. This will alleviate the impact of transition shock on newly graduated nurses, helping them transition smoothly and successfully.

Preparation and characterization of liquefied eggplant branch bio-based controlled-release fertilizer.

Bio-based coating materials have received increased attention because of their low-cost, environmentally friendly, and sustainable properties. In this paper, a novel coating material was developed to coat ureas using bio-based coating material derived from liquefied eggplant branches to form controlled-release ureas (CRUs). Also, the optimum proportion of liquefier was studied. Furthermore, dimethyl siloxane was used to modify liquified eggplant branches to make them hydrophobic, resulting in hydrophobic controlled-release ureas (SCRUs). This hydrophobic-enabled coating is environmentally friendly and highly efficient. The products were characterized by specific scanning electron microscopy, energy-dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, and differential scanning calorimetry, and the water contact angles of CRUs and SCRUs were determined. The nutrient-release characteristics of the SCRUs in water were determined at 25 °C and compared with those of CRUs. The results showed that the modification with dimethyl siloxane reduced the N release rate and increased the longevity of the fertilizer coated with hydrophobic bio-based coating material. In addition, organosilicon atoms on the SCRU surface also block the micro-holes on the coating and thus reduce the entry of water onto the coating. The results suggest that the new coating technology can create a hydrophobic surface on bio-based coating material and thus improve their controlled-release characteristics.

NGF Signaling Exacerbates KOA Peripheral Hyperalgesia via the Increased TRPV1-Labeled Synovial Sensory Innervation in KOA Rats.

Objectives: Knee osteoarthritis (KOA) pain is caused by nociceptors, which are actually sensory nerve fiber endings that can detect stimuli to produce and transmit pain signals, and high levels of NGF in synovial tissue led to peripheral hyperalgesia in KOA. The purpose of this study is to investigate how sensory nerve fibers respond to the NGF/TrKA signal pathway and mediate the peripheral hyperalgesia in KOA rats. Methods: Forty SD male rats were randomly divided into 4 groups: normal, KOA, KOA + NGF, and KOA + siRNA TrKA. KOA model rats were induced by anterior cruciate ligament transection (ACLT). Mechanical and cold withdrawal thresholds (MWT and CWT) were measured 4 times in each group. The synovial tissues were harvested on day 28, and the expressions of NGF, TrKA, TRPV1, IL-1ß, and PGP9.5 were determined using western blot, qPCR, and immunofluorescence staining. The primary rat fibroblast-like synoviocytes (FLSs) and DRG cells were divided into 4 groups as in vivo. The expressions of NGF, TrKA, TRPV1, and CGRP in vitro were determined using western blot and qPCR. Results: KOA and intra-articular injection with NGF protein increased both mRNA and protein levels, not only TRPV1, PGP 9.5, and IL-1ß in the synovial tissue, but also TRPV1, PGP 9.5, and S100 in the DRG tissue, while above changes were partly reversed after siRNA TrKA intervention. Besides, siRNA TrKA could improve peripheral hyperalgesia and decreased the TRPV1 positive nerve fiber innervation in synovial tissue. The results in vitro were consistent with those in vivo. Conclusion: This study showed the activation of the NGF/TrKA signaling pathway in KOA promoted the release of pain mediators, increased the innervation of sensory nerve fibers in the synovium, and worsened peripheral hyperalgesia. It also showed increased TRPV1 positive sensory innervation in KOA was mediated by NGF/TrKA signaling and exacerbated peripheral hyperalgesia.

Real-time monitoring of in situ chemical oxidation (ISCO) of dissolved TCE by integrating electrical resistivity tomography and reactive transport modeling.

Successful in situ chemical oxidation (ISCO) applications require real-time monitoring to assess the oxidant delivery and treatment effectiveness, and to support rapid and cost-effective decision making. Existing monitoring methods often suffer from poor spatial coverage given a limited number of boreholes in most field conditions. The ionic nature of oxidants (e.g., permanganate) makes time-lapse electrical resistivity tomography (ERT) a potential monitoring tool for ISCO. However, time-lapse ERT is usually limited to qualitative analysis because it cannot distinguish between the electrical responses of the ionic oxidant and the ionic products from contaminant oxidation. This study proposed a real-time quantitative monitoring approach for ISCO by integrating time-lapse ERT and physics-based reactive transport models (RTM). Moving past common practice, where an electrical-conductivity anomaly in an ERT survey would be roughly linked to concentrations of anything ionic, we used PHT3D as our RTM to distinguish the contributions from the ionic oxidant and the ionic products and to quantify the spatio-temporal evolution of all chemical components. The proposed approach was evaluated through laboratory column experiments for trichloroethene (TCE) remediation. This ISCO experiment was monitored by both time-lapse ERT and downstream sampling. We found that changes in inverted bulk electrical conductivity, unsurprisingly, did not correlate well with the observed permanganate concentrations due to the ionic products. By integrating time-lapse ERT and RTM, the distribution of all chemical components was satisfactorily characterized and quantified. Measured concentration data from limited locations and the non-intrusive ERT data were found to be complementary for ISCO monitoring. The inverted bulk conductivity data were effective in capturing the spatial distribution of ionic species, while the concentration data provided information regarding dissolved TCE. Through incorporating multi-source data, the error of quantifying ISCO efficiency was kept at most 5 %, compared to errors that can reach up to 68 % when relying solely on concentration data.

Clinical and Animal Studies of Waist and Knee Scraping Therapy for Knee Osteoarthritis.

BACKGROUND: Knee osteoarthritis (KOA) is a degenerative condition with knee pain as the main clinical manifestation. Scraping is one of the commonly used traditional Chinese medicine treatment methods, which activates blood circulation, removes blood stasis, reduces inflammation, and so on. Although scholars have proposed that the synergistic treatment of the waist and knee for KOA is superior to simple knee treatment, there is no relevant reference literature on the application of scraping therapy. Therefore, this study aims to explore the effectiveness and potential mechanisms of waist and knee scraping therapy for treating KOA through clinical and animal studies in order to promote its clinical application. OBJECTIVE: To explore the clinical efficacy of waist and knee scraping therapy in the treatment of KOA from clinical study and increase animal study on this basis to preliminarily explore its mechanism, providing an objective basis for better treatment of KOA. METHOD: The clinical study recruited 90 KOA patients and divided them into a control group, a knee scraping group, and a waist and knee scraping group using a random number table method. All patients were evaluated for clinical efficacy, the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC), and Traditional Chinese Medicine Syndrome Score. The KOA rat model was established using the Hulth method. The rats were randomly divided into a control group, KOA group, waist scraping group, knee scraping group, and waist and knee scraping group. During the intervention process of rats, the pain sensitivity threshold was measured, and HE staining was performed on the synovium and cartilage. The protein and mRNA expression levels of TNF-α, IL- 1ß, IL-6, PGP9.5, SP and TRPA1, TRPV4, SP, and NGF were measured by Western blot and real-time PCR. RESULTS: In the clinical study, the clinical efficacy of the 2 scraping groups was significantly higher than that of the control group. The clinical efficacy of the waist and knee scraping group on the 60th day of treatment was significantly higher than that of the knee scraping group. In terms of improving WOMAC scores, all 3 groups had significance; The function and total score of the waist and knee scraping group on the 28th day of treatment, as well as the pain, function, and total score on the 60th day, were lower than those of the knee scraping group. In terms of improving pain while standing, pain when walking on flat ground, and total score, the scraping group had significant differences. The score of heavy limbs in the waist and knee scraping group was lower than that in the knee scraping group. In an animal study, during the 4th week after modeling, there were differences in the pain sensitivity threshold between the KOA group and the waist scraping group compared to the control group, while there were differences in the pain sensitivity threshold between the knee scraping group and the waist and knee scraping group compared to the KOA group. The expression levels of various proteins and genes in the KOA group and waist scraping group increased compared to the control group; The knee scraping group and the waist and knee scraping group were lower than those in the KOA group. CONCLUSION: Scraping therapy can significantly alleviate knee joint pain and stiffness, improve joint function, and improve clinical efficacy, and the short-term and long-term effects of waist and knee scraping therapy are more significant. The scraping therapy has a definite therapeutic effect on KOA rats, which can improve the threshold of cold hyperalgesia and mechanical hyperalgesia, and the waist and knee scraping therapy is more obvious. This may be related to reducing inflammatory reactions in synovial and ganglion tissues. CLINICAL TRIAL REGISTRATION NUMBER: ChiCTR230070623.

Predictive value of platelet-to-lymphocyte ratio combined with CA199 levels in postoperative survival of patients with gastric cancer: A retrospective study.

OBJECTIVE: To develop a new scoring system based on platelet-to-lymphocyte ratio (PLR) and CA199 to predict the prognosis of gastric cancer. METHODS: PLR-CA199 was identified in a retrospective study that was conducted in a training cohort of 990 gastric cancer patients who underwent curable resection from 2012 to 2014 and validated in a validation cohort of 625 patients between 2015 and 2016. RESULTS: In the training cohort, PLR-CA199 was related to gender (P = 0.041), age (P = 0.014), tumor location (P = 0.015), tumor size (P < 0.001), Bormann type (P < 0.001), vascular invasion (P < 0.001), perineural invasion (P < 0.001), and TNM staging (P < 0.001). In the validation cohort, PLR-CA199 was related to tumor size (P < 0.001), Bormann type (P = 0.007), vascular invasion (P < 0.001), perineural invasion (P < 0.001), and TNM staging (P < 0.001). Survival analysis showed that in the training cohort the mean disease-free survival (DFS) was 70.699 months for patients PLR-CA199 = 0, 51.223 months for patients PLR-CA199 = 1, and 32.152 months for patients PLR-CA199 = 2 (P < 0.001). The correlation between PLR-CA199 and DFS was further confirmed in the validation cohort (50.640 vs. 41.842 vs. 22.382, P < 0.001). Survival analysis showed that the mean disease special survival (DSS) was 76.668 months for patients PLR-CA199 = 0, 61.218 months for patients PLR-CA199 = 1, and 44.665 months for patients PLR-CA199 = 2 in the training cohort (P < 0.001). The correlation between PLR-CA199 and DSS was further confirmed in the validation cohort (53.858 vs. 46.385 vs. 44.665, P < 0.001). Furthermore, univariate and multivariate analyses showed that PLR-CA199 was an independent prognostic factor for DFS and DSS. CONCLUSIONS: Preoperative PLR-CA199 may be a useful prognostic indicator, and is a promising tool for predicting the prognosis for gastric cancer.

Effect of Preventive Nursing on Male Children with Hypospadias in Preventing Postoperative Complications.

OBJECTIVE: To determine the clinical impact of preventive nursing on children with hypospadias and the intervention effect on postoperative complications. STUDY DESIGN: Comparative study. Place and Duration of the Study: Department of Urology Surgery, Beijing Children's Hospital Affiliated to Capital Medical University Baoding Hospital, Hebei, China, from August 2019 to July 2021. METHODOLOGY: Children with hypospadias who received elective surgery were randomly divided into two groups of forty cases each. The control group received traditional specialised nursing care during the perioperative period, the study group administered preventive care on the control basis. The postoperative rehabilitation, VAS, anxiety and depression score, postoperative complications, and nursing satisfaction were compared between the two groups. RESULTS: The time of first bowel movement, extubation, and hospitalisation in the study group were significantly shorter than in the control group, with statistically significant value (p<0.001). After intervention, the SAS and SDS in the study group were significantly lower than those in the control group, and the difference was statistically significant (p<0.05). The incidence of complications in the study group was 7.50%, lower than the 25% of control group (p = 0.034). The postoperative VAS scores of the study group were significantly lower than those of control group at 6 and 24 hours (p<0.05). Besides, nursing satisfaction in the study group was 97.50%, higher than the 82.50% of the control group (p = 0.025). CONCLUSION: Preventive nursing had a reliable nursing effect on children undergoing hypospadias surgery, which can reduce postoperative complications, alleviate postoperative pain, improve postoperative anxiety and depression, enhance nursing experience, and promote postoperative recovery. KEY WORDS: Preventive care, Hypospadias in male children, Urethroplasty, Complication, Clinical effect.

An adjustable Predictive&Prescriptive method for the RO-based optimal power flow problem.

Traditionally before solving the optimal power flow considering uncertainty (OPF-U) problem, the predicted value of uncertainty parameters, such as wind power, e.g., is derived from data using a statistics approach or machine learning. Based on the predicted uncertainty parameters, the solution to the OPF-U problem can be obtained by the prescriptive analytics technique, such as robust optimization (RO). However, it is unclarified how the prediction error in predictive analytics affects solving the OPF-U problem in prescriptive analytics. We propose an adjustable framework method combining machine learning and RO for the OPF-U problem. The k-nearest neighbor is applied to obtain k samples around the predicted value from sufficient historical data. And the optimization results from a minimum volume ellipsoid set containing the k samples are applied to construct KMV set. Then a robust fluctuation region with an adjustable budget level is gained from the KMV set by a two-term exponential formula, which can be embedded into a two-stage RO model. Computational experiments under test cases of different uncertainty scales show the robustness and adjustability of the proposed fluctuation region are better than the state-of-the-art box and ellipsoidal sets. The solution of the proposed two-stage RO model is more economical than the state-of-the-art RO model. The out-of-sample simulation also demonstrates the proposed adjustable Predictive&Prescriptive method can reduce the computational burden as the scale of the system increases when predictive and prescriptive analytics are separated.

Characterization of DNAPL source zones in clay-sand media via joint inversion of DC resistivity, induced polarization and borehole data.

Toxic organic contaminants in groundwater are pervasive at many industrial sites worldwide. These contaminants, such as chlorinated solvents, often appear as dense non-aqueous phase liquids (DNAPLs). To design efficient remediation strategies, detailed characterization of DNAPL Source Zone Architecture (SZA) is required. Since invasive borehole-based investigations suffer from limited spatial coverage, a non-intrusive geophysical method, direct current (DC) resistivity, has been applied to image the DNAPL distribution; however, in clay-sand environments, the ability of DC resistivity for DNAPLs imaging is limited since it cannot separate between DNAPLs and surrounding clay-sand soils. Moreover, the simplified parameterization of conventional inversion approaches cannot preserve physically realistic patterns of SZAs, and tends to smooth out any sharp spatial variations. In this paper, the induced polarization (IP) technique is combined with DC resistivity (DCIP) to provide plausible DNAPL characterization in clay-sand environments. Using petrophysical models, the DCIP data is utilized to provide tomograms of the DNAPL saturation (SN) and hydraulic conductivity (K). The DCIP-estimated K/SN tomograms are then integrated with borehole measurements in a deep learning-based joint inversion framework to accurately parameterize the highly irregular SZA and provide a refined DNAPL image. To evaluate the performance of the proposed approach, we conducted numerical experiments in a heterogeneous clay-sand aquifer with a complex SZA. Results demonstrate the standalone DC resistivity method fails to infer the DNAPL in complex clay-sand environments. In contrast, the combined DCIP technique provides the necessary information to reconstruct the large-scale features of K/SN fields, while integrating DCIP data with sparse but accurate borehole data results in a high resolution characterization of the SZA.

Comparison of clinical effects between microscopic surgery and conventional surgery in children with penile hypospadias and difference analysis of postoperative urodynamics.

Objective: To compare and analyze the clinical effects of microscopic surgery and conventional surgery in children with penile hypospadias and the differences in postoperative urodynamic indexes. Methods: It was a clinical comparative study. A total of 80 children with penile hypospadias admitted to Beijing Children's Hospital Affiliated to Capital Medical University Baoding Hospital from July 2018 to September 2022 were selected and randomly divided into two group. The experimental group were treated with microscopic urethroplasty, while the control group were treated with traditional urethroplasty. The operative effect, operation time, total intraoperative blood loss, postoperative hospital stay and incidence of surgical complications were compared and analyzed between the two groups. All the children were followed up for two years, and the changes in urodynamic parameters including maximum urine flow rate (Qmax), average urine flow rate (Qavc), urine flow time (FT), peak time (TQmax) and residual urine (PVR) were compared before, two weeks after, six months after and two years after surgery. Results: The efficacy of the experimental group was significantly higher than that of the control group (p=0.013). The intraoperative blood loss and postoperative hospital stay in the experimental group were significantly better than those in the control group (p=0.000). The incidences of urinary leakage and urethral stricture in the experimental group were lower than those in the control group (p<0.05). The Qmax level in the experimental group was higher than that in the control group at six months and two years after surgery, while the FT level was lower than that of the control group (p<0.05). Conclusion: Microscopic surgery is a method with significant clinical value in the treatment of penile hypospadias.

Transcription and Metabolic Profiling Analysis of Three Discolorations in a Day of Hibiscus mutabilis.

In this study, we used combined transcriptomics and metabolomics to analyze the H. mutabilis cultivar's genetic and physiological mechanisms during three flower color transition periods (from white to pink, then from pink to red) within the span of one day. As a result, 186 genes were found to be significantly increased with the deepening of the H. mutabilis flower color; these genes were mainly involved in the expression of peroxidase 30, zinc finger protein, phosphate transporter PHO1, etc. In contrast, 298 genes were significantly downregulated with the deepening of H. mutabilis flower color, including those involved in the expression of probable O-methyltransferase 3, copper binding protein 9, and heat stress transcription factor A-6b. Some genes showed differential expression strategies as the flower color gradually darkened. We further detected 19 metabolites that gradually increased with the deepening of the H. mutabilis flower color, including L-isoleucine, palmitic acid, L-methionine, and (+)-7-isonitrobenzene. The content of the metabolite hexadecanedioate decreased with the deepening of the H. mutabilis flower color. Combined transcriptomics and metabolomics revealed that the metabolic pathways, including those related to anthocyanin biosynthesis, cysteine and methionine metabolism, and sulfur metabolism, appear to be closely related to H. mutabilis flower color transition. This study served as the first report on the genetic and physiological mechanisms of short-term H. mutabilis flower color transition and will promote the molecular breeding of ornamental cultivars of H. mutabilis.

An ice- air-water-NAPL multiphase model for simulating NAPL migration in subsurface system under freeze-thaw condition.

Non-aqueous phase liquid (NAPL) leakage poses serious threats to human health and the environment. Understanding NAPL migration and distribution in subsurface systems is crucial for developing effective remediation strategies. Multiphase flow modeling is an important tool to quantitatively describe the NAPL migration process in the subsurface. However, most multiphase flow models are built for temperatures typical of warmer climates and above freezing conditions, only considering two phases (water-NAPL) or three phases (air-water-NAPL). To date, few studies simulate NAPL migration in a four-phase system (ice-air-water-NAPL), which would be more appropriate for cold regions. In this study, we developed a coupled non-isothermal multiphase transport model to quantitatively describe NAPL migration in a four-phase (ice, gas, water, NAPL) system. The ice phase was added in the continuity equations and the constitutive relationship between unfrozen water content and temperature was applied to solve the energy and flow equations. The developed mathematical model was evaluated using a two-dimensional experiment under freeze-thaw cycles (FTCs) with an R2 = 0.8803 between the simulated and observed NAPL saturation. Next, we evaluated the effect of freezing-induced changes in pressure and density between LNAPL and DNAPL on NAPL distribution under freeze-thaw condition. Simulation results show that ignoring the impact of ice formation and thawing during freeze-thaw cycles for LNAPL and DNAPL transport simulations can result in up to a 48% and 13% difference in model predictions of local NAPL saturations respectively, affecting model predictions of overall NAPL spatial distributions and potentially predicted remediation effectiveness.

The mechanism of palmatine-mediated intestinal flora and host metabolism intervention in OA-OP comorbidity rats.

Background: ErXian decoction is a Chinese herbal compound that can prevent and control the course of osteoarthritis (OA) and osteoporosis (OP). OP and OA are two age-related diseases that often coexist in elderly individuals, and both are associated with dysregulation of the gut microbiome. In the initial study, Palmatine (PAL) was obtained by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and network pharmacological screening techniques, followed by 16S rRNA sequencing and serum metabolomics of intestinal contents, to explore the mechanism of PAL in the treatment of OA and OP. Methods: The rats selected for this study were randomly divided into three groups: a sham group, an OA-OP group and a PAL group. The sham group was intragastrically administered normal saline solution, and the PLA group was treated with PAL for 56 days. Through microcomputed tomography (micro-CT), ELISA, 16S rRNA gene sequencing and non-targeted metabonomics research, we explored the potential mechanism of intestinal microbiota and serum metabolites in PAL treatment of OA-OP rats. Results: Palmatine significantly repair bone microarchitecture of rat femur in OA-OP rats and improved cartilage damage. The analysis of intestinal microflora showed that PAL could also improve the intestinal microflora disorder of OA-OP rats. For example, the abundance of Firmicutes, Bacteroidota, Actinobacteria, Lactobacillus, unclassified_f_Lachnospiraceae, norank_f_Muribaculaceae, Lactobacillaceae, Lachnospiraceae and Muribaculaceae increased after PAL intervention. In addition, the results of metabolomics data analysis showed that PAL also change the metabolic status of OA-OP rats. After PAL intervention, metabolites such as 5-methoxytryptophol, 2-methoxy acetaminophen sulfate, beta-tyrosine, indole-3-carboxylic acid-O-sulfate and cyclodopa glucoside increased. Association analysis of metabolomics and gut microbiota (GM) showed that the communication of multiple flora and different metabolites played an important role in OP and OA. Conclusion: Palmatine can improve cartilage degeneration and bone loss in OA-OP rats. The evidence we provided supports the idea that PAL improves OA-OP by altering GM and serum metabolites. In addition, the application of GM and serum metabolomics correlation analysis provides a new strategy for uncovering the mechanism of herbal treatment for bone diseases.

The clinical significance of macrolide resistance in pediatric Mycoplasma pneumoniae infection during COVID-19 pandemic.

Background: Mycoplasma pneumoniae (MP) is a commonly occurring pathogen causing community-acquired pneumonia (CAP) in children. The global prevalence of macrolide-resistant MP (MRMP) infection, especially in Asian regions, is increasing rapidly. However, the prevalence of MRMP and its clinical significance during the COVID-19 pandemic is not clear. Methods: This study enrolled children with molecularly confirmed macrolide-susceptible MP (MSMP) and MRMP CAP from Beijing Children's Hospital Baoding Hospital, Capital Medical University between August 2021 and July 2022. The clinical characteristics, laboratory findings, chest imaging presentations, and strain genotypes were compared between patients with MSMP and MRMP CAP. Results: A total of 520 hospitalized children with MP-CAP were enrolled in the study, with a macrolide resistance rate of 92.7%. Patients with MRMP infection exhibited more severe clinical manifestations (such as dyspnea and pleural effusion) and had a longer hospital stay than the MSMP group. Furthermore, abnormal blood test results (including increased LDH and D-dimer) were more common in the MRMP group (P<0.05). Multilocus variable-number tandem-repeat analysis (MLVA) was performed on 304 samples based on four loci (Mpn13-16), and M3562 and M4572 were the major types, accounting for 74.0% and 16.8% of the strains, respectively. The macrolide resistance rate of M3562 strains was up to 95.1%. Conclusion: The prevalence of MRMP strains in hospitalized CAP patients was extremely high in the Baoding area, and patients infected with MRMP strains exhibited more severe clinical features and increased LDH and D-dimer. M3562 was the predominant resistant clone.

HMGB1/GPC3 dual targeting vaccine induces dendritic cells-mediated CD8+T cell immune response and elicits potential therapeutic effect in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a fatal malignant tumor, but effective clinical interventions are limited. PLGA/PEI-mediated DNA vaccine encoding the dual targets of high-mobility group box 1 (HMGB1) or GPC3 was developed for HCC treatment. Compared with PLGA/PEI-GPC3 immunization, PLGA/PEI-HMGB1/GPC3 co-immunization significantly inhibited the subcutaneous tumor growth, while increasing the infiltration of CD8+T cells and DCs. Furthermore, the PLGA/PEI-HMGB1/GPC3 vaccine induced a strong CTL effect and promoted functional CD8+T cell proliferation. Intriguingly, the depletion assay proved that the therapeutic effect PLGA/PEI-HMGB1/GPC3 vaccine was dependent on antigen-specific CD8+T cell immune responses. In the rechallenge experiment, PLGA/PEI-HMGB1/GPC3 vaccine provided a long-lasting resistance to the growth of the contralateral tumor by inducing the memory CD8+T cell responses. Collectively, PLGA/PEI-HMGB1/GPC3 vaccine could induce a strong and long-lasting CTL effect and inhibit the tumor progression or re-attack. Therefore, the combined co-immunization of PLGA/PEI-HMGB1/GPC3 might be served as an effective anti-tumor strategy against HCC.

Prognostic analysis of three forms of Ki-67 in patients with breast cancer with non-pathological complete response before and after neoadjuvant systemic treatment.

BACKGROUND: Patients who do not achieve a pathological complete response (pCR) after neoadjuvant systemic treatment (NST) have a significantly worse prognosis. A reliable predictor of prognosis is required to further subdivide non-pCR patients. To date, the prognostic role in terms of disease-free survival (DFS) between the terminal index of Ki-67 after surgery (Ki-67T ) and the combination of the baseline Ki-67 at biopsy before NST (Ki-67B ) and the percentage change in Ki-67 before and after NST (Ki-67C ) has not been compared. AIM: This study aimed to explore the most useful form or combination of Ki-67 that can provide prognostic information to non-pCR patients. PATIENTS AND METHODS: We retrospectively reviewed 499 patients who were diagnosed with inoperable breast cancer between August 2013 and December 2020 and received NST with anthracycline plus taxane. RESULTS: Among all the patients, 335 did not achieve pCR (with a follow-up period of ≥1 year). The median follow-up duration was 36 months. The optimal cutoff value of Ki-67C to predict a DFS was 30%. A significantly worse DFS was observed in patients with a low Ki-67C (p < 0.001). In addition, the exploratory subgroup analysis showed relatively good internal consistency. Ki-67C and Ki-67T were considered as independent risk factors for DFS (both p < 0.001). The forecasting model combining Ki-67B and Ki-67C showed a significantly higher area under the curve at years 3 and 5 than Ki-67T (p = 0.029 and p = 0.022, respectively). CONCLUSIONS: Ki-67C and Ki-67T were good independent predictors of DFS, whereas Ki-67B was a slightly inferior predictor. The combination of Ki-67B and Ki-67C is superior to Ki-67T for predicting DFS, especially at longer follow-ups. Regarding clinical application, this combination could be used as a novel indicator for predicting DFS to more clearly identify high-risk patients.

Volume change rate before and after neoadjuvant systemic therapy of breast cancer is an efficacious evaluation index to predict pathological complete response.

Neoadjuvant systemic therapy (NST) is widely applied in breast cancer treatment, but individuals respond differently to the same NST regimen. It is unclear which patients should adjust their NST regimen and what such an adjustment should be, especially for patients with radiologically partial response (PR). This study aimed to identify a quantitative efficacy evaluation index to evaluate the therapeutic effect of NST. 164 patients were enrolled in this study received four cycles of epirubicin and cyclophosphamide (EC), followed by four cycles of taxanes with trastuzumab [T(H)], if needed. Of patients with a volume change rate of EC treatment (δV1) below 0.80, more than half benefited from subsequent T(H) treatment compared with EC treatment. Importantly, for δV1 of 0.80 and higher, patients' subsequent T(H) treatment was not as efficient as previous EC treatment and they have a lower pathological complete response (pCR) rate. Across all patients, nanoparticle albumin-bound paclitaxel had a numerically higher pCR rate over other taxanes in patients with triple-negative breast cancer. This study showed that the volume change rate is better than the diameter change rate in monitoring the therapeutic effect of NST. Furthermore, δV1 is a good quantitative efficacy evaluation index to distinguish patients resistant to EC treatment and predict the pCR rate and guide the adjustment of individualized NST regimens.

A prospective, randomized clinical trial of emergency treatment of chemotherapy-induced neutropenia and febrile neutropenia by pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF).

AIMS: As one of the mainstays of breast cancer therapy, chemotherapy inevitably induces neutropenia. In this study, we explored the role of PEG-rhG-CSF (pegylated recombinant human granulocyte colony-stimulating factor) in the emergency treatment of chemotherapy-induced grades 3-4 neutropenia. METHODS: A total of 100 patients with breast cancer were randomized (1:1) into the study. Fifty patients randomized to the experimental group were treated with PEG-rhG-CSF after grades 3-4 neutropenia following the first cycle of chemotherapy, while 50 patients randomized to the control group received a daily injection of rhG-CSF (recombinant human granulocyte colony-stimulating factor). The primary endpoint was the recovery time of grades 3-4 neutropenia. RESULTS: Compared with patients in the control group, the mean ± SD recovery time of grades 3-4 neutropenia and febrile neutropenia (FN) was significantly shorter for patients in the experimental group (grades 3-4, P = .000; grade 4, P = .000; FN, P = .038). There is no significant difference in the incidence of FN for the two groups. In the experimental group, the duration of grades 3-4 neutropenia in patients aged <60 years and ≥60 years was 2.15 and 3.20 days, respectively (P = .037). Adverse events (AEs) of any grade were reported in 37 (75.5%) and 28 (59.6%) patients from the two groups, respectively. No grade ≥3 AEs were reported. CONCLUSION: This study supported that the PEG-rhG-CSF was more effective and convenient than rhG-CSF for treating grades 3-4 neutropenia and FN in patients with breast cancer and had manageable toxicity.

A data set of distributed global population and water withdrawal from 1960 to 2020.

Population and water withdrawal data sets are currently faced with difficulties in collecting, processing and verifying multi-source time series, and the spatial distribution characteristics of long series are also relatively lacking. Time series is the basic guarantee for the accuracy of data sets, and the production of long series spatial distribution is a realistic requirement to expand the application scope of data sets. Through the time-consuming and laborious basic processing work, this research focuses on the population and water intake time series, and interpolates and extends them to specific land uses to ensure the accuracy of the time series and the demand of spatially distributed data sets. This research provides a set of population density and water intensity products from 1960 to 2020 distributed to the administrative units or the corresponding regions. The data set fills the gaps in the multi-year data set for the accuracy of population density and the intensity of water withdrawal.