Objective:To explore the impact on safety and prognosis in patients with right-sided colon cancer participating in surgical clinical research.Methods:This retrospective cohort study utilized data from a randomized controlled trial (RELARC study) conducted by the colorectal surgery group at Peking Union Medical College Hospital in which laparoscopic complete mesocolic excision (CME) was compared with D2 radical resection for the management of right-sided colon cancer. The eligibility criteria were age 18–75 years, biopsy-proven colon adenocarcinoma, tumor located between the cecum and right 1/3 of the transverse colon, enhanced chest, abdomen, and pelvic CT scans suggesting tumor stage T2–T4N0M0 or TanyN+ M0, and having undergone radical surgical treatment from January 2016 to December 2019. Exclusion factors included multiple primary colorectal cancers, preoperative stage T1N0 or enlarged central lymph nodes, tumor involving surrounding organs requiring their resection, definite distant metastasis or otherwise unable to undergo R0 resection, history of any other malignant tumors within previous 5 years, intestinal obstruction, perforation, or gastrointestinal bleeding requiring emergency surgery, and assessed as unsuitable for laparoscopic surgery. Patients who had participated in the RELARC study were included in the RELARC group, whereas those who met the inclusion criteria but refused to participate in the RELAEC study were included in the control group. The main indicators studied were the patient's baseline data, surgery and perioperative conditions, pathological characteristics, adjuvant treatment, and postoperative follow-up (including average frequency of follow-up within the first 3 years) and survival (including 3-year disease-free survival rate (DFS) and 3-year overall survival rate (OS). Differences in these indicators between the RELARC and control groups were compared.Results:The study cohort comprised 290 patients, 173 in the RELARC group (RELARC-CME group, 82; RELARC-D2 group, 91) and 117 in the control group (CME control group, 72; D2 control group, 45). There was a significantly higher proportion of overweight patients (BMI ≥24 kg/m 2) in the RELARC-CME than in the CME control group (67.1% [55/82] vs. 33.3% [24/72], χ 2=17.469, P<0.001). There were no other statistically significant differences in baseline characteristics (all P>0.05). No significant disparities were found between the CME and D2 groups in terms of operation duration, intraoperative blood loss, rate of conversion to open surgery, combined organ resection, intraoperative blood transfusion, or intraoperative complications (all P>0.05). There was a trend toward Clavien–Dindo grade II or higher postoperative complications in the RELARC-CME group (24.4% [20/82]) than in the CME control group (18.1% [13/72]); however, this difference was not statistically significant (χ 2=0.914, P=0.339). Similarly, the difference in this rate did not differ significantly between the RELARC-D2 group (25.3% [23/91]) and D2 control group (24.4% [11/45], χ 2=0.011, P=0.916). The median duration of postoperative follow-up was significantly shorter in the RELARC groups than in the corresponding control groups. Specifically, the median duration of follow-up was 4.5 (4.5, 4.5) months in the RELARC-CME and 7.2 (6.0, 9.0) months in the CME control group ( Z=-10.608, P<0.001). Similarly, the median duration of follow-up was 4.5 (4.5, 4.5) months in the RELARC-D2 group as opposed to 8.3 (6.6, 9.0) months in the D2 control group ( Z=-10.595, P<0.001). The 3-year DFS rate (91.5%) and OS rate (96.3%) tended to be higher in the RELARC-CME group than in the CME control group (84.7% and 90.3%, respectively). The 3-year DFS rate (87.9%) and OS rate (96.7%) tended to be higher in the RELARC-D2 group than in the D2 control group (81.8% and 88.6%, respectively); however, these differences were not statistically significant (all P>0.05). Subgroup analysis according to pathological stage revealed that patients in the RELARC-D2 group with pN0 stage achieved a significantly superior 3-year OS rate than did those in the D2 control group (100% vs. 88.9%, P=0.008). We identified no statistically significant differences in survival rates between the remaining subgroups (all P>0.05). Conclusions:A high-quality surgical clinical trial with close follow-up can achieve perioperative safety and a trend toward improved survival outcomes.

Objective:To explore the impact on safety and prognosis in patients with right-sided colon cancer participating in surgical clinical research.Methods:This retrospective cohort study utilized data from a randomized controlled trial (RELARC study) conducted by the colorectal surgery group at Peking Union Medical College Hospital in which laparoscopic complete mesocolic excision (CME) was compared with D2 radical resection for the management of right-sided colon cancer. The eligibility criteria were age 18–75 years, biopsy-proven colon adenocarcinoma, tumor located between the cecum and right 1/3 of the transverse colon, enhanced chest, abdomen, and pelvic CT scans suggesting tumor stage T2–T4N0M0 or TanyN+ M0, and having undergone radical surgical treatment from January 2016 to December 2019. Exclusion factors included multiple primary colorectal cancers, preoperative stage T1N0 or enlarged central lymph nodes, tumor involving surrounding organs requiring their resection, definite distant metastasis or otherwise unable to undergo R0 resection, history of any other malignant tumors within previous 5 years, intestinal obstruction, perforation, or gastrointestinal bleeding requiring emergency surgery, and assessed as unsuitable for laparoscopic surgery. Patients who had participated in the RELARC study were included in the RELARC group, whereas those who met the inclusion criteria but refused to participate in the RELAEC study were included in the control group. The main indicators studied were the patient's baseline data, surgery and perioperative conditions, pathological characteristics, adjuvant treatment, and postoperative follow-up (including average frequency of follow-up within the first 3 years) and survival (including 3-year disease-free survival rate (DFS) and 3-year overall survival rate (OS). Differences in these indicators between the RELARC and control groups were compared.Results:The study cohort comprised 290 patients, 173 in the RELARC group (RELARC-CME group, 82; RELARC-D2 group, 91) and 117 in the control group (CME control group, 72; D2 control group, 45). There was a significantly higher proportion of overweight patients (BMI ≥24 kg/m 2) in the RELARC-CME than in the CME control group (67.1% [55/82] vs. 33.3% [24/72], χ 2=17.469, P<0.001). There were no other statistically significant differences in baseline characteristics (all P>0.05). No significant disparities were found between the CME and D2 groups in terms of operation duration, intraoperative blood loss, rate of conversion to open surgery, combined organ resection, intraoperative blood transfusion, or intraoperative complications (all P>0.05). There was a trend toward Clavien–Dindo grade II or higher postoperative complications in the RELARC-CME group (24.4% [20/82]) than in the CME control group (18.1% [13/72]); however, this difference was not statistically significant (χ 2=0.914, P=0.339). Similarly, the difference in this rate did not differ significantly between the RELARC-D2 group (25.3% [23/91]) and D2 control group (24.4% [11/45], χ 2=0.011, P=0.916). The median duration of postoperative follow-up was significantly shorter in the RELARC groups than in the corresponding control groups. Specifically, the median duration of follow-up was 4.5 (4.5, 4.5) months in the RELARC-CME and 7.2 (6.0, 9.0) months in the CME control group ( Z=-10.608, P<0.001). Similarly, the median duration of follow-up was 4.5 (4.5, 4.5) months in the RELARC-D2 group as opposed to 8.3 (6.6, 9.0) months in the D2 control group ( Z=-10.595, P<0.001). The 3-year DFS rate (91.5%) and OS rate (96.3%) tended to be higher in the RELARC-CME group than in the CME control group (84.7% and 90.3%, respectively). The 3-year DFS rate (87.9%) and OS rate (96.7%) tended to be higher in the RELARC-D2 group than in the D2 control group (81.8% and 88.6%, respectively); however, these differences were not statistically significant (all P>0.05). Subgroup analysis according to pathological stage revealed that patients in the RELARC-D2 group with pN0 stage achieved a significantly superior 3-year OS rate than did those in the D2 control group (100% vs. 88.9%, P=0.008). We identified no statistically significant differences in survival rates between the remaining subgroups (all P>0.05). Conclusions:A high-quality surgical clinical trial with close follow-up can achieve perioperative safety and a trend toward improved survival outcomes.

Objective:To evaluate and summarize the best evidence of energy and protein intake targets and calculation in adult critically ill patients, and to provide evidence-based basis for critical nutrition management.Methods:Evidence related to energy and protein intake targets and calculation of adult critically ill patients, including guideline, expert consensus, systematic review and evidence summary, were systematically searched in PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Cochrane Library, UpToDate, BMJ Best Practice, Joanna Briggs Institute (JBI), Web of Science, SinoMed, Medive, China National Knowledge Infrastructure, Wanfang database, VIP database, Guidelines International Network (GIN), National Institute for Health and Care Excellence (NICE), National Guideline Clearinghouse (NGC), Registered Nurses Association of Ontario (RNAO), and Society of Critical Care Medicine (SCCM) from January 2012 to June 2022. Two researchers independently evaluated the quality of the included literatures using the JBI Evidence-based Health Care Center evaluation tool and the Appraisal of Clinical Practice Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ), extracted and summarized the best evidence for the nutritional intake goal and calculation of adult critically ill patients, and described the evidence.Results:A total of 18 literatures were included, including 5 clinical guidelines, 8 expert consensus, 3 systematic reviews and 2 evidence summaries. After literature quality evaluation, 18 articles were all enrolled. The evidence was summarized from the four aspects, including energy target calculation method, dose body weight, energy and protein intake target, and calculation method, 24 pieces of the best evidence were finally formed.Conclusions:The best evidence of energy and protein intake targets and calculation for critically ill patients was summarized based on evidence-based. Clinical medical staff can choose indirect calorimetry to calculate energy goals when equipment is available. Patient's height, body weight should be recorded accurately, dose body weight can be determined by body mass index (BMI). Meanwhile, blood urea nitrogen (BUN) loss, fat-free body weight, simple formulas and other methods should be used to continuously evaluate and adjust protein intake targets, to achieve the purpose of optimizing intensive nutrition support.

Cholesterol is an important precursor of many endogenous molecules. Disruption of cholesterol homeostasis can cause many pathological changes, leading to liver and cardiovascular diseases. CYP1A is widely involved in cholesterol metabolic network, but its exact function has not been fully elucidated. Here, we aim to explore how CYP1A regulates cholesterol homeostasis. Our data showed that CYP1A1/2 knockout (KO) rats presented cholesterol deposition in blood and liver. The serum levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and total cholesterol were significantly increased in KO rats. Further studies found that the lipogenesis pathway (LXRα-SREBP1-SCD1) of KO rats was activated, and the key protein of cholesterol ester hydrolysis (CES1) was inhibited. Importantly, lansoprazole can significantly alleviate rat hepatic lipid deposition in hypercholesterolemia models by inducing CYP1A. Our findings reveal the role of CYP1A as a potential regulator of cholesterol homeostasis and provide a new perspective for the treatment of hypercholesterolemia.

[This corrects the article DOI: 10.1016/j.apsb.2021.04.013.].

Advanced radiotherapy technology enables the dose to more accurately conform to the tumor target area of the patient, providing accurate treatment for the patient, but the gradient of the patient's radiation dose at the tumor edge is getting larger, which putting forward higher requirements for radiotherapy dose verification. The dose verification system software KylinRay-Dose4D can verify the patient's pre-treatment plan and the in vivo/on-line dose during the patient's treatment, providing important reference for the physicist to modify the radiotherapy plan and ensuring that the patient receives accurate treatment. This study introduces the overall design and key technologies of KylinRay-Dose4D, and tests the pre-treatment plan dose checking calculation and 2D/3D dose verification through clinical cases. The test results showed that the 2D/3D gamma pass rate (3 mm/3%) of KylinRay-Dose4D reconstructed dose compared with TPS plan dose and measured dose is larger than 95%, which indicating that the reconstructed dose of KylinRay-Dose4D meets the requirement of clinical application.
Humans ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods* ; Radiotherapy, Intensity-Modulated/methods* ; Software ; Neoplasms ; Phantoms, Imaging ; Radiometry/methods*

[This corrects the article DOI: 10.1016/j.apsb.2021.04.013.].

Objective:To analyze the related factors affecting the inter-arm systolic blood pressure difference (IASBPD) in a physical examination population.Methods:A total of 3 600 adults who underwent physical examination and completed the arteriosclerosis test in the first affiliated hospital of Anhui medical university from January 2019 to June 2021 were selected as the participants by systematic sampling method. Data on age, sex, and history of smoking, heavy drinking, hypertension, type 2 diabetes, and coronary heart disease were recorded. The height, weight, waist circumference, hip circumference, total muscle, total fat and body fat ratio were measured, and body mass index was calculated. The blood pressure of the limbs, ankle brachial index (ABI) were measured synchronously with the arteriosclerosis tester of the Chinese Academy of Sciences, and the IASBPD were calculated. According to the IASBPD value, the participants were divided into two groups: IASBPD<10 mmHg (1 mmHg=0.133 kPa) group and IASBPD≥10 mmHg group, The differences between the two groups were compared, and the related influencing factors of IASBPD were analyzed by multivariate logistic regression.Results:Weight, body mass index, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, total muscle, total fat, body fat rate, history of hypertension, proportion of type 2 diabetes mellitus, and proportion of history of coronary heart disease in the IASBPD≥10 mmHg group was higher than that of IASBPD<10 mmHg group [(69.1±11.2) vs (65.3±10.8) kg, (25.6±3.4) vs (24.4±3.3) kg/m 2, (91.3±11.3) vs (87.8±10.6) cm, (98.5±10.4) vs (96.5±9.8) cm, (139.7±20.0) vs (129.7±17.6) mmHg, (80.3±11.6) vs (76.7±10.1) mmHg, (47.5±9.1) vs (45.3±8.8) kg, (19.4±7.0) vs (17.6±6.4) kg, (27.9%±8.5%) vs (26.8%±8.1%), 41.1% vs 29.3%, 16.6% vs 11.7%, 13.1% vs 7.3%] (all P<0.05); ABI was lower than that in IASBPD<10 mmHg group [(1.15±0.11) vs (1.20±0.09)] ( P<0.001). There were no significant differences in height, smoking history and heavy drinking history between the two groups (all P>0.05). Multivariate logistic regression analysis showed that age, systolic blood pressure, body weight and ABI were independent influencing factors of IASBPD≥10 mmHg. Age, systolic blood pressure and body weight were positively correlated with IASBPD≥10 mmHg, while ABI was negatively correlated with IASBPD≥10 mmHg. Conclusion:Increases in age, systolic blood pressure, and body weight and a decrease in ABI are important influencing factors leading to the elevation of IASBPD.

Vascular smooth muscle cell (VSMC) migration plays a critical role in the pathogenesis of many cardiovascular diseases. We recently showed that TMEM16A is involved in hypertension-induced cerebrovascular remodeling. However, it is unclear whether this effect is related to the regulation of VSMC migration. Here, we investigated whether and how TMEM16A contributes to migration in basilar artery smooth muscle cells (BASMCs). We observed that AngII increased the migration of cultured BASMCs, which was markedly inhibited by overexpression of TMEM16A. TMEM16A overexpression inhibited AngII-induced RhoA/ROCK2 activation, and myosin light chain phosphatase (MLCP) and myosin light chain (MLC20) phosphorylation. But AngII-induced myosin light chain kinase (MLCK) activation was not affected by TMEM16A. Furthermore, a suppressed activation of integrin

Objective:To investigate the clusters of COVID-19 associated with a market (market Y) in Haidian District, Beijing, and analyze the chain of transmission and provide reference for effective prevention and control of COVID-19.Methods:The investigation of field epidemiology and cluster epidemic was used to describe the distributions of all COVID-19 cases. The time sequence diagram of the cases, disease onset was drawn and transmission chains were analyzed. Real-time RT-PCR assay was conducted for SARS-CoV-2 nucleic acid test by using the respiratory samples of the cases.Results:The COVID-19 epidemic, originated from a wholesale farm produce market (market X) in Fengtai District, Beijing, was introduced by a marketer in the market Y who had exposed to market X, causing 8 clusters of 20 confirmed cases of COVID-19 and one asymptomatic case, including 8 men and 13 women, in market Y, surrounding communities, food plaza, companies,families and other places. The incidence peaked during June 10-14, 2020; the median age of the cases was 45 years, ranging from 5 years to 87 years. The initial symptoms of the cases included fever (10/20) and pharynx discomfort (7/20). The median of incubation period was 5 days ( IQR:3-8). The median of serial interval between primary case and secondary cases was 5 days with a secondary attack rate of 3.7%(20/538), and the secondary attack rate in household close-contacts was 14.0% (7/50). Conclusions:The clusters of COVID-19 associated with market Y were caused by several modes of transmission, including human-to-human, contaminated material-to-human, etc. The combined public-health response measures were effective to control the COVID-19 epidemic in Haidian district of Beijing.