Objective: To observe the effect of Tuina (Chinese therapeutic massage) on creatine kinase (CK), mitochondrial Ca2+ concentration, and ultrastructure of skeletal muscle in delayed onset muscle soreness (DOMS) model rats.Methods: A total of 130 healthy male Sprague-Dawley rats were randomly divided into a blank group, an exercise control group, a pre-exercise Tuina group, and a post-exercise Tuina group. According to the time points for sample collection, the exercise control group was divided into a 0 h exercise control group, a 24 h exercise control group, a 48 h exercise control group, and a 72 h exercise control group; the pre-exercise Tuina group was further divided into a 0 h pre-exercise Tuina group, a 24 h pre-exercise Tuina group, a 48 h pre-exercise Tuina group, and a 72 h pre-exercise Tuina group; and the post-exercise Tuina group was divided into a 0 h post-exercise Tuina group, a 24 h post-exercise Tuina group, a 48 h post-exercise Tuina group, and a 72 h post-exercise Tuina group. Rats in all groups except for the blank group received DOMS modeling. Professionals performed Nie-Pinching manipulation and finger Nian-Twisting manipulation on the lower limbs of the rats. The samples were collected at 0 h, 24 h, 48 h, or 72 h after exhaustive exercise for each pre-exercise Tuina group. The samples were collected at 0 h, 24 h, 48 h, or 72 h after Tuina for each post-exercise Tuina group. The changes in serum CK, skeletal muscle mitochondrial Ca2+ concentration, and Ca2+-adenosine triphosphatase (ATPase) were determined. The ultrastructure changes of skeletal muscles in each group were observed by a transmission electron microscope. Results: The electron microscope showed that compared with the exercise control group, the skeletal muscle structures of the pre-exercise Tuina group and the post-exercise Tuina group were significantly improved, and the overall performance of skeletal muscle in the pre-exercise Tuina group was more similar to that of the blank group. The level of serum CK in the pre-exercise Tuina group and the post-exercise Tuina group was significantly lower than that in the exercise control group (P<0.01). The Ca2+ concentration of skeletal muscle in the 24 h, 48 h, and 72 h pre-exercise Tuina groups was lower than that in the post-exercise Tuina group at the same time point (P<0.01). The Ca2+-ATPase concentration of skeletal muscle in the 24 h and 72 h pre-exercise Tuina groups was lower than that in the post-exercise Tuina group at the same time point (P<0.05).Conclusion: Tuina effectively prevents muscle damage caused by heavy exercise and long-term exercise, which may be related to the increase of skeletal muscle Ca2+-ATPase activity and mitochondrial Ca2+ transport.

Background: Resistin level is high in patients with severe acute pancreatitis (SAP), and resistin is expected to be a new marker for evaluating the severity of acute pancreatitis. Objective: To explore the influence of integrated traditional Chinese and Western medicine therapy on serum resistin levels in SAP patients. Design, setting, participants and interventions: Twenty-eight SAP patients meeting inclusion criteria from Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University were included, and the patients were randomly divided into treatment group and placebo group. There were 13 patients in the treatment group and 15 patients in the placebo group. Patients in the treatment group were given traditional Chinese herbal medicine in addition to the conventional treatment. Patients in the placebo group were given placebo in addition to the conventional treatment. Main outcome measures: The serum resistin levels on admission, and days 1, 3, 5, and 7 after the admission were detected. Results: The serum resistin levels on admission in all the patients were higher than normal level, and there was no significant difference between the two groups (P>0.05). On days 1, 3, 5, and 7 after admission, the resistin levels in the treatment group were (3.29+/-1.66) mu g/L, (3.71+/-1.05) mu g/L, (3.08+/-1.47) mu g/L and (3.62+/-1.67) mu g/L, and in the control group (5.16+/-1.93) mu g/L, (5.07+/-1.53) mu g/L, (4.88+/-1.47) mu g/L and (5.12+/-1.48) mu g/L, respectively. The resistin levels were lower in the treatment group than in the control group (P<0.05). Conclusion: Serum resistin level in SAP patients can be decreased by integrated traditional Chinese medicine and Western medicine therapy.

Objective To investigate the relationship of serum resistin and pancreatic necrosis in the patients with severe acute pancreatitis. Methods Twenty-eight patients with SAP admitted to our hospital from March 2008 to November 2008 were divided into two groups according to the CT scan imaging: necrotic group and non-necrotic group. The enzyme-linked immunosorbent assay (ELISA) was used to test the serum resistin levels. An ROC curve was depicted to predict the pancreas necrosis. Results There were 21 patients in the non-necrotic group and 7 in the necrotic group, and there was no significant difference in terms of sex, age and baseline disease (P>0.05). The resitin levels ranged from 0.1730 ng/ml to 7.4923 ng/ml, with a mean (3.7102±1.6987) ng/ml. The area under the curve of resistin values was 0.884±0.108 (95%CI:0.672～1.097), asymptote signals 0.003, then it was calculated that P=0.003, which was>0.50. Conclusions The serum resistin may be of clinical value to predict the pancreatic necrosis.

This article was aimed to study the chemical constituents of the petroleum ether fraction of Liparis nervosa.Chemicalcompoundswereisolatedandpurifiedthroughvariouschromatographytechniques.The accurate structures of chemical compounds were confirmed with spectral data and literatures. The results showed that7chemicalconstituentswereisolatedfromthepetroleumetherfractionofLiparis nervosa,whichwere moscatin (1), batatasin Ⅲ (2), bergapten (3), isoimpinellin (4), xanthotoxin (5), imperatorin (6) and β-sitosterol (7). It was concluded that chemical constituents 3-7 were isolated from this genus for the first time. And chemical constituents 1-7 were isolated from this plant for the first time.

Objective:To investigate the feasibility of a three-dimensional no new U-Net (3D nnU-Net) deep learning (DL) network for the automatic segmentation of colorectal cancer (CRC) based on abdominal CT images.Methods:This was a cross-sectional study. From January 2018 to May 2023, a total of 2180 primary CRC patients, confirmed by pathology at the Guangdong Provincial Hospital of Traditional Chinese Medicine (center 1, n=777), Nanfang Hospital, Southern Medical University (center 2, n=732), and Sun Yat-sen Memorial Hospital (center 3, n=671), were enrolled in this retrospective study. The baseline abdominal CT examination of each patient was conducted using CT equipment from 7 different models across 4 vendors, at the 3 centers, encompassing both the arterial phase (AP) and venous phase (VP). Two radiologists manually delineated the volume of interest to circumscribe the entire tumors in dual-enhanced phase CT images. The CT data of CRC patients from center 1 and center 3 were merged and divided into a training set ( n=1 159) and a validation set ( n=289) using a weighted random method with a ratio of 4∶1. The patients from center 2 were used as an independent external test set ( n=732). The 3D nnU-Net segmentation model was trained and tested. Using manually annotated label data as the benchmark, segmentation performance of the model was evaluated based on different phases and tumor locations. The segmentation coverage rate (SCR), Dice similarity coefficient (DSC), recall (REC), precision (PRE), F1-score, and 95% Hausdorff distance (HD 95) were calculated. The mean manual segmentation time and the mean automatic time were compared using independent samples t-test. Results:In the independent external test set, the performance of the 3D nnU-Net model based on the AP CT images was superior to that based on the VP CT images. On the AP images, the SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.865, 0.714, 0.716, 0.736, 0.714, and 27.228, respectively; on the VP images, they were 0.834, 0.679, 0.710, 0.675, 0.679, and 29.358, respectively. The model achieved the best performance on right-sided colon cancer, with SCR, DSC, REC, PRE, F1-score, and HD95 on the AP CT images at 0.901, 0.775, 0.780, 0.787, 0.775, and 21.793, respectively. Next were left-sided colon cancer and rectal cancer, while the segmentation performance for transverse colon cancer was the worst (SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.731, 0.631, 0.641, 0.630, 0.631 and 38.721, respectively). The automatic segmentation time on a single phase was (1.0±0.3) min, while the manual segmentation time was (17.5±6.0) min ( t=128.24, P<0.001). Conclusions:After training and validating on a dataset from multiple centers with various CT scanner vendors, the 3D nnU-Net DL model demonstrates the capability to automatically segment CRC based on abdominal CT images, while also showcasing commendable robustness and generalization ability.

Precision medicine is an approach to rational treatment selection in the overall management of lung cancer nowadays. The introduction of the patient-derived organoid (PDO) model has established the "black-box" decision-making system from the perspective of in-vitro functional models. This may assist as a complement to the treatment selection strategy based on gene-drug correlation. Further validation must be done in multi-dimensional characteristics recapitulation of the primary tumor in organoids and in large-scale randomized controlled clinical trials. This article will give an introduction to the organoid model and review the application scenarios of organoids in the context of the precise treatment of existing lung cancer.

Objective:To investigate the effects of continuous renal replacement therapy (CRRT) on plasma concentration, clinical efficacy and safety of colistin sulfate.Methods:Clinical data of patients received with colistin sulfate were retrospectively analyzed from our group's previous clinical registration study, which was a prospective, multicenter observation study on the efficacy and pharmacokinetic characteristics of colistin sulfate in patients with severe infection in intensive care unit (ICU). According to whether patients received blood purification treatment, they were divided into CRRT group and non-CRRT group. Baseline data (gender, age, whether complicated with diabetes, chronic nervous system disease, etc), general data (infection of pathogens and sites, steady-state trough concentration, steady-state peak concentration, clinical efficacy, 28-day all-cause mortality, etc) and adverse event (renal injury, nervous system, skin pigmentation, etc) were collected from the two groups.Results:A total of 90 patients were enrolled, including 22 patients in the CRRT group and 68 patients in the non-CRRT group. ① There was no significant difference in gender, age, basic diseases, liver function, infection of pathogens and sites, colistin sulfate dose between the two groups. Compared with the non-CRRT group, the acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) and sequential organ failure assessment (SOFA) were higher in the CRRT group [APACHE Ⅱ: 21.77±8.26 vs. 18.01±6.34, P < 0.05; SOFA: 8.5 (7.8, 11.0) vs. 6.0 (4.0, 9.0), P < 0.01], serum creatinine level was higher [μmol/L: 162.0 (119.5, 210.5) vs. 72.0 (52.0, 117.0), P < 0.01]. ② Plasma concentration: there was no significant difference in steady-state trough concentration between CRRT group and non-CRRT group (mg/L: 0.58±0.30 vs. 0.64±0.25, P = 0.328), nor was there significant difference in steady-state peak concentration (mg/L: 1.02±0.37 vs. 1.18±0.45, P = 0.133). ③ Clinical efficacy: there was no significant difference in clinical response rate between CRRT group and non-CRRT group [68.2% (15/22) vs. 80.9% (55/68), P = 0.213]. ④ Safety: acute kidney injury occurred in 2 patients (2.9%) in the non-CRRT group. No obvious neurological symptoms and skin pigmentation were found in the two groups. Conclusions:CRRT had little effect on the elimination of colistin sulfate. Routine blood concentration monitoring (TDM) is warranted in patients received with CRRT.

Objective:To explore the value of dual-layer detector spectral CT quantitative parameters in evaluating the treatment response of neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC).Methods:The study was a cross-sectional study. From May 2021 to March 2023, a total of 52 patients with LARC who received complete nCRT and were pathologically confirmed rectal adenocarcinoma at the Guangdong Province Hospital of Traditional Chinese Medicine were retrospectively enrolled. Each patient underwent spectral CT examination before and after nCRT, including plain scan, arterial phase (AP), and venous phase (VP) scans. According to the tumor regression grade, the patients were divided into the good response ( n=20) and the poor response group ( n=32). Measurements of the primary tumor′s spectral CT parameters, including effective atomic number (Z eff) at plain scan, iodine concentration (IC), CT values of 40 keV and 100 keV virtual monochromatic image (VMI) at dual-enhanced phases, were taken before and after nCRT. Additionally, the normalized iodine concentration (NIC), spectral curve slope (λHU), and the change rate of the above parameters before and after nCRT were calculated. The independent sample t-test or Mann-Whitney U test was used to compare the differences between the two groups. The receiver operating characteristic (ROC) curve was used to assess the efficacy of various metrics in evaluating the tumor treatment response of nCRT. A binary logistic regression analysis of combined parameter results was performed for the parameters with the areas under curve (AUC)>0.75, and the AUC of the combined parameter was evaluated. Results:There were significant differences in NIC AP and λHU VP before nCRT, NIC VP and λHU VP after nCRT, and the change rates of Z eff, NIC AP, NIC VP and λHU AP between the good response group and the poor response group ( P<0.05). The remaining parameters showed no statistically significant difference ( P>0.05). The ROC curve results showed that the AUCs of the above 8 parameters for evaluating tumor treatment response of nCRT were 0.702, 0.655, 0.695, 0.769, 0.738, 0.807, 0.791, and 0.677, respectively. The AUC of the combined model of the three parameters with AUC>0.75 (λHU VP after nCRT, the change rate of NIC AP and NIC VP) was 0.869, with 80.0% sensitivity and 84.4% specificity. Conclusion:The quantitative parameters derived from spectral CT may provide new markers for evaluating the response to nCRT treatment in patients with LARC. The multi-parameter combined model can improve diagnostic efficacy.

Dioxins, polybrominated diphenyl ethers, and benzo(a)pyrene are common organic pollutants in food. They have been of concern to academics and government administrations due to high residue and persistence, easy accumulation and strong harmful effects. The National Research Council of the United States of America published Toxicity Testing in the 21st Century: A Vision and Strategy in 2007, which proposed a new concept of toxicity testing that toxicity testing should take full consideration of population exposure data and base on in vitro tests, human cell lines, toxicity pathways and high?throughput screening. Meanwhile, systems biology, bioinformatics and rapid assay technologies will be used to better understand toxicity pathways—the cellular response pathways that can lead to adverse health effects when sufficient perturbing induced by chemicals exposure. The new toxicity testing strategy has changed the traditional testing pattern and has brought a wide impact on the international relevant fields. The European Union, the World Health Organization, and the United States Environmental Protection Agency, the Food and Drug Administration, and the National Center for Toxicological Research have organized relevant discussions and exploratory studies to address the new toxicity testing concept and how to evaluate and utilize the results of traditional toxicity test researches. Compared to the discussion,‘whether to do it’, ten years ago, the question,‘how to do it’, has become the concern of the current discussion. Therefore, how to respond to the concept of toxicity testing and how to effectively utilize and excavate traditional toxicity test data have been the focus of multi?disciplines and interdisciplinary academia such as toxicology, food hygiene and environmental science. Therefore, this article provides an overview of the exposure levels of dioxin, polybrominated diphenyl ethers and benzo[a]pyrene, which are typical persistent organic pollutants in food in China and the current research status of toxic pathways based on whole animal experiments. The exposure level, toxic effect and toxicity mechanism of three contaminants are analyzed and summarized in order to provide basis for future results based on the 21st century toxicity test compared with traditional tests and data mining analysis of these two kinds of data. Meanwhile, it also lays the foundation for the establishment of a toxicity testing framework based on exposure characteristics, toxic pathways, and biomarkers.

Dioxins, polybrominated diphenyl ethers, and benzo(a)pyrene are common organic pollutants in food. They have been of concern to academics and government administrations due to high residue and persistence, easy accumulation and strong harmful effects. The National Research Council of the United States of America published Toxicity Testing in the 21st Century: A Vision and Strategy in 2007, which proposed a new concept of toxicity testing that toxicity testing should take full consideration of population exposure data and base on in vitro tests, human cell lines, toxicity pathways and high?throughput screening. Meanwhile, systems biology, bioinformatics and rapid assay technologies will be used to better understand toxicity pathways—the cellular response pathways that can lead to adverse health effects when sufficient perturbing induced by chemicals exposure. The new toxicity testing strategy has changed the traditional testing pattern and has brought a wide impact on the international relevant fields. The European Union, the World Health Organization, and the United States Environmental Protection Agency, the Food and Drug Administration, and the National Center for Toxicological Research have organized relevant discussions and exploratory studies to address the new toxicity testing concept and how to evaluate and utilize the results of traditional toxicity test researches. Compared to the discussion,‘whether to do it’, ten years ago, the question,‘how to do it’, has become the concern of the current discussion. Therefore, how to respond to the concept of toxicity testing and how to effectively utilize and excavate traditional toxicity test data have been the focus of multi?disciplines and interdisciplinary academia such as toxicology, food hygiene and environmental science. Therefore, this article provides an overview of the exposure levels of dioxin, polybrominated diphenyl ethers and benzo[a]pyrene, which are typical persistent organic pollutants in food in China and the current research status of toxic pathways based on whole animal experiments. The exposure level, toxic effect and toxicity mechanism of three contaminants are analyzed and summarized in order to provide basis for future results based on the 21st century toxicity test compared with traditional tests and data mining analysis of these two kinds of data. Meanwhile, it also lays the foundation for the establishment of a toxicity testing framework based on exposure characteristics, toxic pathways, and biomarkers.