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Numerous studies have explored the adsorption of cadmium (Cd) and arsenic (As) by iron (Fe)-modified biochar, but few studies have examined in-depth the similarities and differences in the adsorption behavior of different iron types on Cd and As. In this study, sewage sludge biochar (BC) was co-pyrolyzed with self-made Fe minerals (magnetite, hematite, ferrihydrite, goethite, and schwertmannite) to treat Cd and As co-contaminated water. The adsorption of Cd and As on the Fe-modified biochar was further analyzed by adsorption kinetics, adsorption isotherms, and adsorption thermodynamics combined with a series of characterization experiments. Both SEM-EDX and XRD results confirmed the successful loading of iron minerals onto BC. Both adsorption kinetics and adsorption isotherms experiments showed that the adsorption of Cd and As by BC and the other five Fe-modified biochar was mainly controlled by chemical interactions. The results also indicated that goethite biochar (GtBC) was the most effective for the adsorption of Cd among the five Fe-modified biochar. Ferrihydrite biochar (FhBC) formed more diverse complexes, coupled with the relatively stronger electrons accepting ability, thus making it more effective for As adsorption than the others. Additionally, GtBC and hematite biochar (HmBC) were found effective for the adsorption of both Cd and As, whereas MBC was not found effective for either metal. Furthermore, combined with XPS results, the adsorption of Cd by the materials was mainly governed by Cd

Background: Allergic asthma (AA) is a common asthma phenotype. The variable and recurrent clinical symptoms cause a lot of pain to the patients, but there is no complete cure for the disease. It is worth noting that traditional Chinese medicine (TCM) has some advantages in the treatment of AA. Tuo-Min-Ding-Chuan Decoction (TMDCD) is an effective prescription from Professor Wang Qi, academician of the Chinese Academy of Engineering and master of Chinese medicine. Our previous studies with animal experiment have proved the efficacy of decoct TMDCD. Therefore, we designed a clinical trial to evaluate the safety and efficacy of TMDCD in the treatment of mild AA. Methods: This study is a single-center, randomized, double-blinded, placebo-controlled, parallel-group trial. 324 subjects will be recruited and randomized in a 1:1 ratio in the Intervention and control groups. The Intervention group and control group will be administered TMDCD granules and placebo granules, respectively. The primary outcome measures are the total dose of budesonide-formoterol and Total Asthma Symptom Score(TASS). The secondary outcome measures include times of AA exacerbation, Asthma Control Test(ACT), The fraction of exhaled nitric oxide (FeNO), total IgE and allergen specific IgE, lung function testing, Blood routine, Constitution in Chinese medicine questionnaire (CCMQ), Asthma Quality of Life Questionnaire(AQLQ) and the total dose of cetirizine hydrochloride. The study period will last for 60 weeks, including 12 weeks for treatment time and 48 weeks for follow-up period. Discussion: We hypothesized that TMDCD might effectively relieve the symptoms of AA, reduce the number of relapses and the dosage of inhaled corticosteroids(ICS),and improve the quality of life of patients. Our hypothesis may be confirmed by the relevant data obtained in this study. Trial registration: This trial has been registered with the Chinese Clinical Trial Registry. Trial registration number: ChiCTR2200056239. Registered 2 February 2022. http://www.chictr.org.cn.

Rice is the main food in China, and its pollution by heavy metals has attracted widespread attention. In this study, rice grain samples were collected from 14 prefecture-level cities in Hunan Province, China. The contents of 9 heavy metals (i.e., As, Cr, Co, Ni, Cu, Zn, Cd, Pb, and Sb) were measured using graphite digestion-inductively coupled plasma mass spectrometry (ICP-MS). Pearson correlation analysis and principal component analysis were performed to evaluate the correlation among these heavy metals. In addition, ordinary kriging interpolation were applied to investigate the spatial distribution pattern of the heavy metals. Results showed that the average concentrations of these heavy metals were 0.48 (As), 1.28 (Cr), 0.03 (Co), 0.84 (Ni), 2.39 (Cu), 15.73 (Zn), 0.28 (Cd), 0.66 (Pb), and 0.0043 (Sb) mg/kg, respectively. The single-factor pollution index (SFPI) contamination assessment showed that As, Pb, Cr, Ni, and Cd accumulated significantly in the rice grain, with over-standard rates of 100%, 100%, 64.70%, 47.05%, and 44.12%, respectively. The Sb concentrations at the sampling sites were low, and there was no obvious pollution. Health risk assessment showed that the target hazard quotient followed the order of AsCrCdPb1.0CoCuZnNiSb, and the carcinogenic risk value was in the order of CdNiAsCr1.0×10

The pharmacological mechanism of curcumin against drug resistance in non-small cell lung cancer (NSCLC) remains unclear. This study aims to summarize the genes and pathways associated with curcumin action as an adjuvant therapy in NSCLC using network pharmacology, drug-likeness, pharmacokinetics, functional enrichment, protein-protein interaction (PPI) analysis, and molecular docking. Prognostic genes were identified from the curcumin-NSCLC intersection gene set for the following drug sensitivity analysis. Immunotherapy, chemotherapy, and targeted therapy sensitivity analyses were performed using external cohorts (GSE126044 and IMvigor210) and the CellMiner database. 94 curcumin-lung adenocarcinoma (LUAD) hub targets and 41 curcumin-lung squamous cell carcinoma (LUSC) hub targets were identified as prognostic genes. The anticancer effect of curcumin was observed in KEGG pathways involved with lung cancer, cancer therapy, and other cancers. Among the prognostic curcumin-NSCLC intersection genes, 20 LUAD and 8 LUSC genes were correlated with immunotherapy sensitivity in the GSE126044 NSCLC cohort; 30 LUAD and 13 LUSC genes were associated with immunotherapy sensitivity in the IMvigor210 cohort; and 12 LUAD and 13 LUSC genes were related to chemosensitivity in the CellMiner database. Moreover, 3 LUAD and 5 LUSC genes were involved in the response to targeted therapy in the CellMiner database. Curcumin regulates drug sensitivity in NSCLC by interacting with cell cycle, NF-kappa B, MAPK, Th17 cell differentiation signaling pathways, etc. Curcumin in combination with immunotherapy, chemotherapy, or targeted drugs has the potential to be effective for drug-resistant NSCLC. The findings of our study reveal the relevant key signaling pathways and targets of curcumin as an adjuvant therapy in the treatment of NSCLC, thus providing pharmacological evidence for further experimental research.

Mingsheng Lyu,1,* Yahui Wang,2,* Qiuyi Chen,1,* Jingbo Qin,3 Dan Hou,1 Shuaiyang Huang,1 Dongmei Shao,1 Xuefeng Gong,4 Guirui Huang,1 Shiyu Zhang,1 Zhijie Zhang,1 Hongsheng Cui1 1Department of Respiratory, The Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 2Department of Neurology and Stroke Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 3National Institute of TCM Constitution and Preventive Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 4Department of Traditional Chinese Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongsheng Cui, Department of Respiratory, The Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, Tel +8613901101359, Email hshcui@sina.comBackground: Steroid-dependent asthma (SDA) is characterized by oral corticosteroid (OCS) resistance and dependence. Wumeiwan (WMW) showed potentials in reducing the dose of OCS of SDA patients based on our previous studies.Methods: Network pharmacology was conducted to explore the molecular mechanism of WMW against SDA with the databases of TCMSP, STRING, etcetera. GO annotation and KEGG functional enrichment analysis were conducted by metascape database. Pymol performed the molecular docking. In the experiment, the OVA-induced plus descending dexamethasone intervention chronic asthmatic rat model was conducted. Lung pathological changes were analyzed by H&E, Masson, and IHC staining. Relative expressions of the gene were performed by real-time PCR.Results: A total of 102 bioactive ingredients in WMW were identified, as well as 191 common targets were found from 241 predicted targets in WMW and 3539 SDA-related targets. The top five bioactive ingredients were identified as pivotal ingredients, which included quercetin, candletoxin A, palmidin A, kaempferol, and beta-sitosterol. Besides, 35 HUB genes were obtained from the PPI network, namely, TP53, AKT1, MAPK1, JUN, HSP90AA1, TNF, RELA, IL6, CXCL8, EGFR, etcetera. GO biological process analysis indicated that HUB genes were related to bacteria, transferase, cell differentiation, and steroid. KEGG pathway enrichment analysis indicated that the potential mechanism might be associated with IL-17 and MAPK signaling pathways. Molecular docking results supported these findings. H&E and Masson staining proved that WMW could reduce airway inflammation and remodeling of model rats, which might be related to the downward expression of IL-8 proved by IHC staining and real-time PCR.Conclusion: WMW could be a complementary and alternative therapy for SDA by reducing airway inflammation.Keywords: steroid-dependent asthma, Wumeiwan, Chinese herbal medicine, IL-8, network pharmacology, molecular docking

Previous studies have argued that people tend to isolate themselves from negative information. This tendency is modulated by the individual's role in social interaction, that is, as an initiative actor (e.g., "I hit Tom") or a passive recipient (e.g., "Paul hits me"). Depressed patients tend to focus on negative aspects of themselves and cope with situations passively. It is still an open question how the actor/recipient role affects the behavioral and neural responses to self in depression.The present study adopted functional magnetic resonance imaging (fMRI) technology to investigate behavioral and neural responses to self (as an actor/recipient) in depressed patients and the matched healthy controls when attributing negative events.Compared with healthy controls, depressed patients showed more self-attribution for negative events. Depressed patients showed increased brain activity in the dorsal medial prefrontal cortex (dmPFC) subsystem of the default mode network (DMN) when they played recipient role in self-related negative events. Activity of the dmPFC subsystem was negatively correlated with depressed patients' self-attribution for negative events in recipient condition. While decreased brain activity in the medial temporal lobe (MTL) subsystem was observed in depressed patients when they played the actor or recipient role in self-related negative events. Activity of the MTL subsystem was negatively correlated with depressed patients' reaction time when they played recipient role in selfrelated negative events.These results implicated that depressed patients manifested the negative self-view. Actor/recipient role affected their activation patterns in the DMN which were different from the healthy controls. The correlation between the abnormal brain activations of the DMN and the behavioral performances might manifest more easily when depressed patients played recipient role in negative events.

Background Default-mode network (DMN) plays a key role in the pathophysiology of obsessive−compulsive disorder (OCD). However, the network homogeneity (NH) of DMN in OCD remains equivocal. Objective This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with OCD. Methods This study used the independent component analysis and unbiased hypothesis-driven NH method to analyze the resting-state functional magnetic resonance imaging data of 40 drug-naive patients with OCD and 40 age-, gender-, and education-matched healthy controls (HCs). Results Patients with OCD exhibited decreased NH values in the left ventral medial prefrontal cortex and bilateral posterior cingulate cortex (PCC)/precuneus (PCu) compared with HCs. Furthermore, analyses of receiver operating characteristic curves indicated that the decreased NH values in the right PCC/PCu may be used as a candidate neuroimaging marker to distinguish patients with OCD from HCs. Conclusion These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of OCD. Trial Registration Study on the mechanism of brain network in obsessive-compulsive disorder with multi-model magnetic resonance imaging (ChiCTR-COC-17013301).

Background/objective Coronavirus disease 2019 (COVID-19) is a disaster in human medical history and glucocorticoids remain the most promising therapy. Osteonecrosis is a disease caused by reduced intraosseous blood flow to bones in the joints, which will rapidly induce joint destruction. Approximately one-third patients with severe acute respiratory syndrome (SARS) who received high cumulative doses and long treatment durations of glucocorticoids occurred osteonecrosis. Considering the similarity of SARS and COVID-19 on their pathogen, clinical characteristics, and therapeutic strategies, it is particularly desirable to investigate whether osteonecrosis will become a common sequela among convalescent COVID-19 patients. Methods This multi-strategy study was designed by integrating different research methods, such as meta-analysis, systematic review, and cross-sectional investigations to address above study objectives. At first, two meta-analyses were performed on the osteonecrosis incidence among SARS patients and the clinical data of glucocorticoid exposure among COVID-19 patients. Then, a systematic review of low-dosage glucocorticoid associated osteonecrosis and a cross-sectional investigation of glucocorticoid exposure of COVID-19 patients in Wuhan city of China were also conducted. Moreover, the pathogenesis, diagnosis, prevention, and treatment options for osteonecrosis patients with COVID-19 infection were further presented and discussed. Results Our meta-analysis showed that 32% of SARS patients had developed osteonecrosis after receiving glucocorticoid treatment with high dose, and our system review supported that low level glucocorticoid exposure might also lead to the occurrence of osteonecrosis. Similarly, 40% of COVID-19 patients had undergone glucocorticoid treatment according to our meta-analysis. The cross-sectional investigation in Wuhan city of China found that the average of cumulative glucocorticoid exposure level was 504 ​mg calculated by the dosage of methylprednisolone. Notably, a confirmed osteonecrosis case was identified from 1406 patients with COVID-19 during our cross-sectional investigation, implying that preventive management of osteonecrosis should be better started with regular clinical follow-up observation. Conclusion Growing evidence of the glucocorticoid therapy for COVID-19 patients prompts us to establish risk-classification-based early screening and to introduce early prevention protocol of its associated osteonecrosis that will be of clinical significance in favor of improved prognosis of this disease. The translational potential of this article To establish risk-classification-based early screening and to introduce early prevention protocol of glucocorticoid-induced osteonecrosis will be of clinical significance in favor of improved prognosis of COVID-19.

Background: Coronavirus disease 2019 (COVID-19) is an emerging global medical challenge and glucocorticoids remain the most promising therapy. Osteonecrosis (ON) is a disease caused by reduced blood flow to bones in the joints, which will rapidly induce joint destroy. ON had been frequently identified among convalescent patients after Severe Acute Respiratory Syndrome (SARS). Considering the similarity of SARS and COVID-19 on their pathogen, clinical characteristics and therapeutic strategies, it is particularly worrying whether ON will be a common sequela among convalescent COVID-19 patient. Methods: This multi-strategy study integrating different research methods, such as meta-analysis, systematic review and cross-sectional investigation. At first, two meta-analyses were performed on the incidence of osteonecrosis among SARS patients and the clinical data of glucocorticoid exposure among COVID-19 patients. Then, a systematic review of low-dosage glucocorticoid associated osteonecrosis and a real-world cross-sectional investigation of glucocorticoid exposure of COVID-19 patients in China Wuhan were also provided. Moreover, the pathogenesis, diagnosis, prevention, and treatment options for osteonecrosis after COVID-19 infection were further described. Findings: Our meta-analysis showed that 32% of SARS patients had developed ON after receiving glucocorticoid treatment with high dose, and our system review also supported that low level glucocorticoid exposure may lead to the occurrence of ON. Similarly, 40% of COVID-19 patients had undergone glucocorticoid treatment according to our meta-analysis. The cross-sectional investigation in China Wuhan found that the average of cumulative glucocorticoid exposure level was 504 mg calculated by the dosage of methylprednisolone. Notably, a confirmed osteonecrosis case after COVID-19 was identified during our investigation. Preventive management of ON shall better start with regular clinical followup observation. Interpretation: Growing evidence of the glucocorticoid therapy for COVID-19 patients prompts us to put forward the risk-classification-based early screening and early prevention protocol of ON, which may be of clinical significance in favorable prognosis of this disease. Registration Details: PROSPERO, registration number CRD42020203536. Funding Information: This study was supported by the Special Project For COVID-19 Prevention and Management of Ministry of Education of China (2020-JYB-YJ-023), the National Key Research and Development Program of China (2019ZX09731-002) and the State Key Program of National Natural Science Foundation of China (82030122). Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: The protocol for the investigation study has been registered in the Chinese Clinical Trial Registry (ChiCTR), (URL: http://www.chictr.org.cn/showproj.aspx?proj=61769, No. ChiCTR2000038333). This study was approved by the Ethics Institutional Review Board of the Third Affiliated Hospital of Beijing University of Chinese Medicine (No. BZYSY-2020KYKTPJ-06), and informed consent was obtained from every participant patient.

Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since both varying hardware and software across different centers cause unavoidable data heterogeneity across centers, its impact on reliability in study outcomes has also drawn much attention recently. One fundamental issue arises in how to derive model parameters reliably from image data of varying quality. This issue is even more challenging for advanced diffusion methods such as diffusion kurtosis imaging (DKI). Recently, deep learning–based methods have been demonstrated with their potential for robust and efficient computation of diffusion-derived measures. Inspired by these approaches, the current study specifically designed a framework based on a three-dimensional hierarchical convolutional neural network, to jointly reconstruct and harmonize DKI measures from multicenter acquisition to reformulate these to a state-of-the-art hardware using data from traveling subjects. The results from the harmonized data acquired with different protocols show that: 1) the inter-scanner variation of DKI measures within white matter was reduced by 51.5% in mean kurtosis, 65.9% in axial kurtosis, 53.7% in radial kurtosis, and 61.5% in kurtosis fractional anisotropy, respectively; 2) data reliability of each single scanner was enhanced and brought to the level of the reference scanner; and 3) the harmonization network was able to reconstruct reliable DKI values from high data variability. Overall the results demonstrate the feasibility of the proposed deep learning–based method for DKI harmonization and help to simplify the protocol setup procedure for multicenter scanners with different hardware and software configurations.

Aim Obsessive-compulsive disorder (OCD) is associated with deficits in response inhibition and planning, which are governed by the central executive network. The objective of this study was to investigate both intra- and inter-regional resting-state connectivity within the central executive network in OCD. Methods Thirty OCD patients and 30 matched healthy controls were scanned using resting-state functional magnetic resonance imaging. The independent component analysis was used on a separate sample of healthy controls to generate the central executive network mask for the subsequent OCD analyses. Regional homogeneity (ReHo) and seed-based functional connectivity analyses were used to explore the differences between intra- and inter-regional synchronized activity within the central executive network in OCD patients at rest. Results Increased ReHo and functional connectivity in the key regions of the central executive network, such as the orbitofrontal cortex, dorsolateral prefrontal cortex, and the angular gyrus were found in OCD patients. Furthermore, changes in both the ReHo within the orbitofrontal cortex and the functional connectivity between the orbitofrontal cortex and angular gyrus were negatively correlated with OCD duration. Conclusions The increased resting-state functional organization within the central executive network may be related to OCD patients’ deficits in cognitive control and symptom progression.

Altered brain activities in the cortico-striato-thalamocortical (CSTC) circuitry are implicated in the pathophysiology of obsessive-compulsive disorder (OCD). However, whether the underlying changes occur only within this circuitry or in large-scale networks is still not thoroughly understood. This study performed voxel-based functional connectivity analysis on resting-state functional magnetic resonance imaging (fMRI) data from thirty OCD patients and thirty healthy controls to investigate whole-brain intrinsic functional connectivity patterns in OCD. Relative to the healthy controls, OCD patients showed decreased functional connectivity within the CSTC circuitry but increased functional connectivity in other brain regions. Furthermore, decreased left caudate nucleus-thalamus connectivity within the CSTC circuitry was positively correlated with the illness duration of OCD. This study provides additional evidence that CSTC circuitry may play an essential role and alteration of large-scale brain networks may be involved in the pathophysiology of OCD.

As a well-known means for pumping crude oil with high pour point, the economic effect of a hot oil pipeline to be built will depend on such factors as pipeline capacity, pipeline length, properties of the oil to be pumped, environmental conditions along the right of way, design scheme and operation scenarios. Generally speaking, engineering-economic characteristics of oil and gas pipelines are a complete set of the economic relationships relevant to engineering factors of the pipelines, each relationship involving at least an economic index or parameter. The engineering-economic characteristics of hot oil pipelines reflect basic regularities governing the general economic effect and each economic index of the pipelines, so it is helpful understanding these characteristics for the decision-making about whether and how to build a hot oil pipeline. In some cases, for a specific hot oil pipeline project, a decision or judgment on macro level may be made only from some common engineering-economic characteristics of hot oil pipelines, without the need for the engineering design and the economic analysis of the project in detail. The frame of engineering-economic characteristics of oil and gas pipelines is outlined in this paper, and some key elements are discussed on the basis of a large amount of engineering calculation and economic analysis of virtual hot oil pipeline projects, including the optimal pipe diameter and the optimal flow velocity for a given pipeline capacity, the economic capacity limits and the economic flow velocity limits for a given pipe diameter, the economically feasible maximum pipeline length for a given pipeline capacity, and the economically feasible minimum pipeline capacity for a given pipeline length. Though the basic economic data used in our research come from China, its research results and conclusions on engineering-economic characteristics of hot oil pipelines also would be helpful for hot oil pipeline projects in other countries all over the world.Copyright © 2008 by ASME

The integrity management system of steel pipeline is an international popular pattern of assets management at present. It has important meaning and effect that establishing and consummating a set of assets integrity management (AIM) system with practical application value in all the integrity management system. By using the AIM system, risk can be identified and ranged timely; more detect and assess data may be gained; the maintenance and remedy cost can be saved and the monitoring become more convenient and quick. Thereby, the AIM system can contribute to dynamic and circular integrity management. According to the latest research development of integrity management in the international, this paper illustrate the assets integrity management in detail from the aspect of the application of assets integrity management, design way, workflow, and function introducing, which is based on the design module of assets integrity management.Copyright © 2006 by ASME