Group-based trajectory modeling for fear of cancer recurrence in cancer survivors: a systematic review.

PURPOSE: We aimed to systematically review studies that used a group-based trajectory modeling approach to explore the categories of fear of cancer recurrence (FCR) trajectories and their predictors in cancer survivors. METHODS: MEDLINE, EMBASE, CINAHL, Scopus, and Web of Science were searched. Three authors independently reviewed the literature for predefined eligibility criteria. The Joanna Briggs Institute critical appraisal tools for Cohort Studies and the Guidelines for Reporting on Latent Trajectory Studies were used to assess the quality of included studies. A qualitative synthesis of the included studies was performed. RESULTS: Ninety-eight studies were retrieved after removing duplicates, and 11 studies met the criteria for inclusion. There are four types of FCR trajectories: stable, decreasing, increasing, and stable-then-decreasing-then-increasing. The following factors were considered significant predictors of FCR trajectory category in at least one of the included studies: age, race, income, education, employment, cancer stage, physical symptoms, depression, anxiety, satisfaction with medical care, and selected cognitive and behavioral factors. CONCLUSIONS: There was considerable heterogeneity among the studies included in study design and FCR trajectory results. Factors that significantly predicted FCR trajectory categories mostly focused on psychological characteristics. The correlation of sociodemographic and disease-related predictors with FCR trajectory categories was not consistent among the included studies. IMPLICATIONS FOR CANCER SURVIVORS: We suggest that future scholars should incorporate more psychological factors when identifying cancer survivors who persistently maintain a high level of FCR and developing FCR mitigation measures.

Preliminary identification of soil fungi for the degradation of polyurethane film.

Polyurethane (PU) is a versatile plastic that boasts high environmental resistance. The biodegradation of PU has become a hot topic of research aimed at finding ways to potentially solve PU pollutants. Identifying microorganisms capable of efficiently degrading PU plastics is pivotal for the development of a green recycling process for PU. This study aimed to isolate and characterize PU-degrading fungi from the soil of a waste transfer station in Luoyang, China. We isolated four different fungal strains from the soil. Among the isolates, the P2072 and P2073 strains were identified as Rhizopus oryzae (internal transcribed spacer identity, 99.66%) and Alternaria alternata (internal transcribed spacer identity, 99.81%), respectively, through microscopic, morphologic, as well as 18S rRNA sequencing. The degradation ability of strains P2072 and P2073 was analyzed through measurement of weight loss, and they exhibited a degradation rate of 2.7% and 3.3%, respectively, for the PU films after 2 months' growth in mineral salt medium (MSM) with PU films as the sole carbon source. In addition, the P2073 strain exhibited protease activity in the presence of PU. To our knowledge, R. oryzae has never been reported as a PU-degrading fungus. This study provides a new perspective on the biodegradation of PU.

Comparative transcriptome analysis of wild type and a pectate lyase mutant strain of Bacillus subtilis.

Transcriptome analysis for the original Bacillus subtilis K1 strain and UV mutagenic strain UW07 with high yield of pectate lyase was implemented with RNA-seq. The function of genes was annotated and metabolic pathways were classified to look for different expression genes and classify these genes into related metabolic pathways to reveal the high-yield mechanism of pectate lyase in UW07. The results showed that 397 genes were up-regulated and 617 genes were down-regulated compared with the original strain. The up-regulated genes were mainly involved in ABC transporters, two-component system, biosynthesis of amino acids, and carbon metabolism.

ACM: Accuracy-Aware Collaborative Monitoring for Software-Defined Network-Wide Measurement.

Software-defined measurement (SDM) is a simple and efficient way to deploy measurement tasks and collect measurement data. With SDM, it is convenient for operators to implement fine-grained network-wide measurements at the flow level, from which many important functions can benefit. The prior work provides mechanisms to distribute flows to monitors, such that each monitor can identify its non-overlapped subset of flows to measure, and a certain global performance criterion is optimized, such as load balance or flow coverage. Many applications of network management can benefit from a function that can find large flows efficiently, such as congestion control by dynamically scheduling large flows, caching of forwarding table entries, and network capacity planning. However, the current network-wide measurements neglect the diversity of different flows as they treat large flows and small flows equally. In this paper, we present a mechanism of accuracy-aware collaborative monitoring (ACM) to improve the measurement accuracies of large flows in network-wide measurements at the flow level. The structure of the sketch is an approximate counting algorithm, and a high-measurement accuracy can be achieved by merging the results from multiple monitors with sketches, which is termed as collaborative monitoring. The core idea of our method is to allocate more monitors to large flows and achieve the load balance to provide accuracy-aware monitoring. We modeled our problem as an integer-linear programming problem, which is NP-hard. Thus, we propose an approximation algorithm, named the improved longest processing time algorithm (iLPTA); we proved that its approximation ratio is (12+nl). We propose a two-stage online distribution algorithm (TODA). Moreover, we proved that its approximation ratio is (1+nl-1). The iLPTA is an offline approximation algorithm used to assign monitors for each flow, which prove the validity and feasibility of the core idea. The TODA is an online algorithm that attempts to achieve the load balance by selecting the monitor with the smallest load to a large flow. Our extensional experiment results verify the effectiveness of our proposed algorithms.

Development, Validation, and Application of a Human Reproductive Toxicity Prediction Model Based on Adverse Outcome Pathway.

A growing number of environmental contaminants have been proved to have reproductive toxicity to males and females. However, the unclear toxicological mechanism of reproductive toxicants limits the development of virtual screening methods. By consolidating androgen (AR)-/estrogen receptors (ERs)-mediated adverse outcome pathways (AOPs) with more than 8000 chemical substances, we uncovered relationships between chemical features, a series of pathway-related effects, and reproductive apical outcomes─changes in sex organ weights. An AOP-based computational model named RepTox was developed and evaluated to predict and characterize chemicals' reproductive toxicity for males and females. Results showed that RepTox has three outstanding advantages. (I) Compared with the traditional models (37 and 81% accuracy, respectively), AOP significantly improved the predictive robustness of RepTox (96.3% accuracy). (II) Compared with the application domain (AD) of models based on small in vivo datasets, AOP expanded the ADs of RepTox by 1.65-fold for male and 3.77-fold for female, respectively. (III) RepTox implied that hydrophobicity, cyclopentanol substructure, and several topological indices (e.g., hydrogen-bond acceptors) were important, unbiased features associated with reproductive toxicants. Finally, RepTox was applied to the inventory of existing chemical substances of China and identified 2100 and 7281 potential toxicants to the male and female reproductive systems, respectively.

Allosteric binding on nuclear receptors: Insights on screening of non-competitive endocrine-disrupting chemicals.

Endocrine-disrupting chemicals (EDCs) can compete with endogenous hormones and bind to the orthosteric site of nuclear receptors (NRs), affecting normal endocrine system function and causing severe symptoms. Recently, a series of pharmaceuticals and personal care products (PPCPs) have been discovered to bind to the allosteric sites of NRs and induce similar effects. However, it remains unclear how diverse EDCs work in this new way. Therefore, we have systematically summarized the allosteric sites and underlying mechanisms based on existing studies, mainly regarding drugs belonging to the PPCP class. Advanced methods, classified as structural biology, biochemistry and computational simulation, together with their advantages and hurdles for allosteric site recognition and mechanism insight have also been described. Furthermore, we have highlighted two available strategies for virtual screening of numerous EDCs, relying on the structural features of allosteric sites and lead compounds, respectively. We aim to provide reliable theoretical and technical support for a broader view of various allosteric interactions between EDCs and NRs, and to drive high-throughput and accurate screening of potential EDCs with non-competitive effects.

Symptom trajectories and influencing factors of prostate cancer following radical prostatectomy in Chinese patients.

BACKGROUND: Patients following radical prostatectomy will encounter various symptoms that may vary depending on the recovery of surgery and the use of adjuvant treatments. However, few studies have used the scale developed for prostate cancer to longitudinally assess the course of symptoms in Chinese patients. This study aimed to identify the symptom trajectories and the influencing factors in the prostate cancer patients of our area. METHODS: A prospective observational study was conducted, and 155 patients with prostate cancer from 3 hospitals in Shanghai were recruited. Demographic and disease-related information was collected during the hospitalization. Further information on symptoms, adjuvant treatment, and functional exercise was collected across 4 time points. Growth mixture modeling was used to identify the trajectory patterns of symptoms, and logistic regression was used to determine the predictors. RESULTS: A total of 143 patients completed the investigation of all points, with a lost-to-follow-up rate of 7.7%. Urinary incontinence, urinary tract irritation, sexual dysfunction, pelvic pain, and hormone related symptoms all had group heterogeneity, and the number of latent category trajectories obtained was 4, 3, 3, 4, and 3 respectively. There were differences in demographic, disease, and treatment-related information between the groups. CONCLUSIONS: Patients with prostate cancer have different symptom levels across different periods after radical prostatectomy. Medical staff can predict these changes based on the initial level of symptoms and related factors such as age, prostate volume, medical comorbidities, drug of adjuvant treatment to clarify the critical points, populations, and symptoms that require monitoring during follow-up.

[Design and clinical application of an adjustable spine prone frame].

The design principle and application of an adjustable spine prone frame are introduced. Adjustable spine prone frame is used in posterior lumbar surgery, during operation, X-ray can shoot fast and internal fixation implants can fix accurately, the vacant abdominal ensure normal respiratory and circulatory function, and the lumbar curvature can adjust conveniently. It meets the surgical position and care requirements, can prevent the complications effectively.

[Prevention of dura adherence in spinal canal after microendoscopic discectomy by different methods: a clinical study of 165 cases].

OBJECTIVE: To evaluate the effects of different methods in prevention of post-operational scar formation and dura adherence in the spinal canal after microendoscopic discectomy (MED). METHODS: 165 patients undergoing MED were randomly divided into 3 equal groups: Group A, with the yellow ligament dissected and with the space between vertebral laminae sprinkled with sodium hyaluronate before the closing of the incision; Group B, with the yellow ligament reserved; and Group C, with the yellow ligament reserved and with the space between vertebral laminae sprinkled with sodium hyaluronate before the closing of the incision. All the patients were followed up 2, 4, and 8 weeks, and 1 and 2 years after the operation. Japanese Orthopedic Association (JOA) scoring system was used to evaluate the outcomes. RESULTS: The JOA scores 2 weeks after MED were not significantly different among the 3 groups; and from then on the JOA scores of Groups B and C were all higher than those of group A (A and B: t(4w) = 0.602, t(8w) = 0.701, t(1y) = 0.623, t(2y) = 0.654; A and C: t(4w) = 0.833, t(8w) = 0.759, t(1y) = 0.714, t(2y) = 0.771, all P < 0.05), however, there were not significantly differences at all time points between Groups B and C (B and C: t(2w) = 0.041, t(4w) = 0.135, t(8w) = 0.980, t(1y) = 0.530, t(2y) = 0.103, all P > 0.05). CT showed that a great amount of scar was seen, surrounding the dura mater sac and nerve roots in Group A, and there was a great amount of scar outside the yellow ligament and no remarkable compression of dura mater sac and nerve roots in Groups B and C. CONCLUSION: Reservation of yellow ligament effectively prevents scar adhesion inside the vertebral canal after MED. Sprinkling of sodium hyaluronate is also effective, however, its effect only lasts a short time.