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Traditional Chinese medicine (TCM) is becoming a popular complementary approach in pediatric oncology. However, few or no meta-analyses have focused on clinical studies of the use of TCM in pediatric oncology.We explored the patterns of TCM use and its efficacy in children with cancer, using a systematic review, meta-analysis and data mining study.We conducted a search of five English (Allied and Complementary Medicine Database, Embase, PubMed, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov) and four Chinese databases (Wanfang Data, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and VIP Chinese Science and Technology Periodicals Database) for clinical studies published before October 2021, using keywords related to "pediatric," "cancer," and "TCM."We included studies which were randomized controlled trials (RCTs) or observational clinical studies, focused on patients aged 19 years old who had been diagnosed with cancer, and included at least one group of subjects receiving TCM treatment.The methodological quality of RCTs and observational studies was assessed using the six-item Jadad scale and the Effective Public Healthcare Panacea Project Quality Assessment Tool, respectively. Meta-analysis was used to evaluate the efficacy of combining TCM with chemotherapy. Study outcomes included the treatment response rate and occurrence of cancer-related symptoms. Association rule mining (ARM) was used to investigate the associations among medicinal herbs and patient symptoms.The 54 studies included in this analysis were comprised of RCTs (63.0%) and observational studies (37.0%). Most RCTs focused on hematological malignancies (41.2%). The study outcomes included chemotherapy-induced toxicities (76.5%), infection rate (35.3%), and response, survival or relapse rate (23.5%). The methodological quality of most of the RCTs (82.4%) and observational studies (80.0%) was rated as "moderate." In studies of leukemia patients, adding TCM to conventional treatment significantly improved the clinical response rate (odds ratio [OR] = 2.55; 95% confidence interval [CI] = 1.49-4.36), lowered infection rate (OR = 0.23; 95% CI = 0.13-0.40), and reduced nausea and vomiting (OR = 0.13; 95% CI = 0.08-0.23). ARM showed that Radix Astragali, the most commonly used medicinal herb (58.0%), was associated with treating myelosuppression, gastrointestinal complications, and infection.There is growing evidence that TCM is an effective adjuvant therapy for children with cancer. We proposed a checklist to improve the quality of TCM trials in pediatric oncology. Future work will examine the use of ARM techniques on real-world data to evaluate the efficacy of medicinal herbs and drug-herb interactions in children receiving TCM as a part of integrated cancer therapy.

BACKGROUND: Currently, change in pelvic incidence (PI) in patients after spinal surgery have not been associated with clear clinical symptoms. This study sought to compare changes in the sagittal parameters of different patients before and after thoracolumbar spine surgery, the relationship between PI change and sacroiliac joint pain (SIJP) after surgery was clarified, and the correlation between PI change and sacroiliac joint (SIJ) activity was verified. METHODS: This study retrospectively analyzed the data of patients who underwent thoracolumbar fusion at Sun Yat-sen Memorial Hospital from January 2019 to June 2021. The spinal and pelvic parameters [including pelvic tilt (PT), sacral slope (SS), PI, lumbar lordosis (LL) angle, etc.] of 409 patients with standard standing lateral radiographs before and after surgery were compared and analyzed. Postoperative follow-up of all patients with standardized SIJP assessment. The incidence of postoperative SIJP, and its correlation with sagittal parameters of the spine and pelvis, surgical methods, and the basic characteristics of patients were analyzed. The Chi-square test was used for categorical variables, the independent-sample t-test was used for generally conformed normally distributed continuous variables. Risk factors associated with the development of SIJP were analyzed using logistics regression. Correlations among SS, PI, and the 4 other sagittal parameters were analyzed using the Pearson correlation coefficient (r). RESULTS: Postoperative PI changes tended to be larger in the lowest instrumented vertebra (LIV) (L4 and above: 1.63°; L5: 2.43°; S1: 3.83°; P4° [odds ratio (OR) =13.051; P4°) are similar to the mechanism of distal junctional kyphosis (DJK), while such changes make patients prone to SIJP following lumbar spine surgery.

目的: 探索对香豆酸(p-CA)对慢性束缚应激(CRS)小鼠记忆障碍的作用及其可能机制。方法: 实验分两批进行,第一批小鼠随机分成对照组(Control)、慢性束缚应激＋溶媒组(CRS)和慢性束缚应激+ p-CA组(CRS+ p-CA), 每组8只,其中CRS小鼠每天接受4 h的束缚应激,连续束缚10 d,而对照组小鼠留在笼中不被打扰。第11日小鼠腹腔注射溶媒(10%吐温80)或p-CA(100 mg/kg),注射后2 h进行Y迷宫测试,注射后24 h进行新颖物体识别(NOR)采样,采样后2 h进行新颖物体识别测试。实验结束后断头取脑剥离海马并检测BDNF蛋白表达。第二批小鼠随机分成慢性束缚应激组(CRS) ,慢性束缚应激+ANA-12(原肌球蛋白激酶B拮抗剂)组(CRS+ANA-12),慢性束缚应激+p-CA组(CRS+ p-CA)和慢性束缚应激+p-CA +ANA-12组(CRS+ p-CA +ANA-12),每组8只,四组小鼠每天接受4 h的束缚应激,连续束缚10 d。第11日小鼠腹腔注射溶媒(10%吐温80)或p-CA(100 mg/kg),ANA-12在p-CA注射前30 min给药。注射后2 h进行Y迷宫测试,注射后24 h进行新颖物体识别采样,采样后2 h进行新颖物体识别测试。 结果: ①在实验一中,与Control组相比,CRS组小鼠Y迷宫和NOR测试的记忆显著性降低(

Based on summarizing and researching the existing literature of absorptive capacity, the author examines the relationship between the five factors (the individual knowledge base, the internal knowledge-sharing environment, the R&D status, the external knowledge exchange condition and the incentive policy) and the level of the absorptive capacity using an empirical research study approach of Beijing high-tech SMEs, and suggests that all these five aspects have significant impact on the level of absorptive capacity.

Kumquats (Fortunella margarita Swingle) cultivated in Taiwan are eaten raw or made into candied fruit or fruit tea. For the experiments described in this paper, essential oils were obtained from kumquat peels or whole fruit by cold pressing, steam distillation or heating in water at 90 °C for 15 min followed by steam distillation. The volatile components contained in the essential oils were identified by direct injection (DI) or headspace-solid phase microextraction (HS-SPME) coupled with gas chromatography (GC). A total of 43 compounds were identified, of which 37 were verified by DI/GC and 31 by HS-SPME/GC. Hot water heating increased the yields of essential oils from both peels and whole fruit. The principal constituents of the oils were similar except for the minor compounds, including linalool, terpinen-4-ol and α-terpineol, the levels of which increased after steam distillation. The whole fruit also contained higher levels of terpene alcohols.

Di-isononyl phthalate esters (DINPs) are endocrine-disrupting chemicals and have replaced di(2-ethylhexyl) phthalate (DEHP) as the major plasticizer for poly(vinyl chloride) (PVC) products in recent years. Exposure marker discovery of DINPs is crucial, because of their high potential for human exposure and toxicity. Here, we propose an alternative approach for tracing signals derived from stable isotope-labeled precursors with varied labeling ratios to efficiently filter probable metabolite signals. The statistical process, which involves a signal mining algorithm with isotope tracing (SMAIT), has effectively filtered 13 probable DINP metabolite signals out of the 8867 peaks in the LC-MS data obtained from incubated stable isotope-labeled precursors with liver enzymes. Seven of the 13 probable metabolite signals were confirmed as DINP structure-related metabolites by preliminary MS/MS analyses. These 7 structure-related metabolite signals were validated as effective DINP exposure markers, using urine samples collected from DINP-administered rats without time-consuming comprehensive structure identification. We propose that the 7 identified possible DINP metabolite signals of m/z 279.1, 293.1, 305.1, 307.1, 321.1, 365.1, and 375.1 are potential markers for DINP exposure and should be investigated further. The integrated approach described here can efficiently, and systematically, filter probable metabolite signals from a complex LC-MS dataset for toxic exposure marker discovery. It is a relatively low-cost/rapid workflow for exposure marker discovery.