BACKGROUND:Dysfunction of macrophage efferocytosis can induce local and systemic inflammatory damage and is associated with a variety of obesity-related metabolic diseases.Moreover,compounds targeting efferocytosis have shown good therapeutic effects. OBJECTIVE:By reviewing the effects of obesity on macrophage efferocytosis,to analyze the key mechanism by which obesity inhibits efferocytosis,to summarize the research progress in compounds targeting efferocytosis to treat obesity-related metabolic diseases,so as to provide new ideas for fully understanding efferocytosis and its relationship with metabolic diseases,aiming to provide new strategies for disease prevention and treatment. METHODS:The English search terms were"efferocytosis,metabolism,obesity,obese,atherosclerosis,non-alcoholic steatohepatitis,neurodegeneration,tumor,osteoarthritis,diabetes,compound,medicine,treatment,"which were used for literature retrieval in PubMed and Web of Science.The Chinese search term was"efferocytosis,"which was used for literature retrieval in CNKI,VIP and WanFang datebases.Ninety-nine papers were finally included in the review analysis after a rigorous screening process. RESULTS AND CONCLUSION:In the process of efferocytosis,the"Find me"and"Eat me"processes involving a large number of apoptotic cell derived factors are mainly regulated by apoptotic cells.The efferocytosis factor involved in cytoskeletal remodeling and digestion are mainly derived from macrophages,which are crucial for efferocytosis activity.These results suggest that the"Find me"and"Eat me"factors mainly reflect the condition of apoptosis,and it is more scientific to select the expression of factors involved in cytoskeletal remodeling and digestion when evaluating the efferocytosis activity of macrophages.Obesity inhibits efferocytosis,and shows an inhibitory effect on most digestive factors,but has a stress-induced activation effect on most"Find me,""Eat me"and cytoskeletal recombination factors,which further indicates the decisive effect of digestive stage on efferocytosis and suggests that it is not reliable for some studies to evaluate the efferocytosis based on the increased expression of"Find me"and"Eat me"factors.Targeting cytokines in the digestive phase may be more effective when discussing future intervention strategies targeting macrophages efferocytosis.The efferocytosis activators of macrophages are effective in the treatment of various metabolic diseases,but the efferocytosis inhibitors in tumor tissue show good anticancer effects,suggesting that the role of efferocytosis should be rationally evaluated according to the characteristics of tissue inflammation.Efferocytosis is a relatively new concept proposed in 2003,with a short research history and complex efferocytosis factors.Current studies on obesity and efferocytosis only involve a tip of the iceberg and most of them are at a superficial level and a large number of scientific experiments are needed to further validate the mechanisms.

Objectives:Distolingual root of the permanent mandibular first molar(PMFM-DLR)has been frequently reported,which may complicate the treatment of periodontitis.This study aimed to assess the morphological features of PMFM-DLR and investigate the correlation between the morphological features of PMFM-DLR and periodontal status in patients with Eastern Chinese ethnic background.Materials and methods:A total of 836 cone beam computed tomography(CBCT)images with 1497 mandibular first molars were analyzed to observe the prevalence of PMFM-DLR at the patients and tooth levels in Eastern China.Among them,complete periodontal charts were available for 69 Chinese patients with 103 teeth.Correlation and regression analyses were used to evaluate the correlation between the morphological features of DLR,bone loss,and periodontal clinical parameters,including clinical attachment loss(CAL),probing pocket depth(PPD),gingival recession(GR),and furcation involvement(FI).Results:The patient-level prevalence and tooth-level prevalence of DLR in mandibular first molars were 29.4%and 26.3%,respectively.Multiple linear regression analysis suggested that bone loss at the lingual site and CAL were negatively affected by the angle of separation between distolingual and mesial roots in the transverse section,while they were significantly influenced by age and the angle of separation between distobuccal and mesial roots in the coronal section.Conclusions:The prevalence of PMFM-DLR in Eastern China was relatively high in our cohort.The morphological features of DLR were correlated with the periodontal status of mandibular first molars.This study provides critical information on the morphological features of DLR for improved diagnosis and treatment options of mandibular molars with DLR.

Objective To investigate the impact of iron overload on apoptosis in primary mouse liver cells via a synchronous separation technology.Methods Hepatocyte(HC),liver sinusoidal endothelial cell(LSEC),and Kupffer cell(KC)were isolated and purified with collagenase,percoll density gradient centrifugation,and CD146 magnetic beads.Cell types were identified using flow cytometry and immunofluorescence staining.Cells of different types were cultured in vitro,and an iron overload model was established by treating the mice with 0,25,50 and 100 μmol/L ferric ammonium citrate(FAC)for 24 h.The iron content was quantified using Prussian blue staining,while cell viability and mitochondrial membrane potential were assessed by flow cytometry.Results The synchronous separation technology of primary liver cells exhibited stable efficiency.The yield of HC was(4.0±0.5)×107 cells per mouse,exhibiting an effective survival rate of(76.33±0.67)％.The yield of LSEC was(5.0±1.0)×106 cells per mouse,with a survival rate of(93.63±0.25)％and a purity level of(93.40±0.46)％.The yield of KC was(1.5±0.5)×106 cells per mouse while a high survival rate of(98.33±0.12)％and a purity level of(88.30±2.02)％were maintained.The obtained cells were large in number,with good vitality and high purity,which could meet the requirements of subsequent experiments.Treatment with FAC significantly elevated iron contents in different types of cells when compared with the control group.Upon stimulation of FAC,the survival rate of HC decreased from(73.97±5.54)％to(54.10±1.68)％,the mean fluorescence intensity of JC-1 aggregates decreased from 326.33±30.37 to 155.00±6.56,JC-1 monomer increased from 1700.00±1 44.04 to 3713.33±81.82.The survival rate of LSEC decreased from(90.60±1.74)％to(78.03±2.15)％,the mean fluorescence intensity of JC-1 aggregates decreased from 502.33±5.51 to 372.33±4.04,and JC-1 monomer increased from 750.00±67.51 to 1340.00±36.39.The survival rate of KC decreased from(94.23±1.44)％to(88.37±1.56)％,the mean fluorescence intensity of JC-1 aggregates decreased from 652.67±25.66 to 478.00±12.49,and JC-1 monomer increased from 1984.33±80.65 to 3062.33±245.20.Conclusion A robust and reliable simultaneous isolation technique of primary mouse HC,LSEC,and KC has been established.Moreover,our finding demonstrates that iron overload significantly enhances apoptosis levels in HC,LSEC and KC.

BACKGROUND:Due to the sudden release and the rapid removal by proteases,platelet-rich plasma hydrogel leads to shorter residence times of growth factors at the wound site.In recent years,researchers have focused on the use of hydrogels to encapsulate platelet-rich plasma in order to improve the deficiency of platelet-rich plasma hydrogels. OBJECTIVE:To prepare self-assembled polypeptide-platelet-rich plasma hydrogel and to explore its effects on the release of bioactive factors of platelet-rich plasma. METHODS:The self-assembled polypeptide was synthesized by the solid-phase synthesis method,and the solution was prepared by D-PBS.Hydrogels were prepared by mixing different volumes of polypeptide solutions with platelet-rich plasma and calcium chloride/thrombin solutions,so that the final mass fraction of polypeptides in the system was 0.1%,0.3%,and 0.5%,respectively.The hydrogel state was observed,and the release of growth factors in platelet-rich plasma was detected in vitro.The polypeptide self-assembly was stimulated by mixing 1%polypeptide solution with 1%human serum albumin solution,so that the final mass fraction of the polypeptide was 0.1%,0.3%,and 0.5%,respectively.The flow state of the liquid was observed,and the rheological mechanical properties of the self-assembled polypeptide were tested.The microstructure of polypeptide(mass fraction of 0.1%and 0.001%)-human serum albumin solution was observed by scanning electron microscope and transmission electron microscope. RESULTS AND CONCLUSION:(1)Hydrogels could be formed between different volumes of polypeptide solution and platelet-rich plasma.Compared with platelet-rich plasma hydrogels,0.1%and 0.3%polypeptide-platelet-rich plasma hydrogels could alleviate the sudden release of epidermal growth factor and vascular endothelial growth factor,and extend the release time to 48 hours.(2)After the addition of human serum albumin,the 0.1%polypeptide group still exhibited a flowing liquid,the 0.3%polypeptide group was semi-liquid,and the 0.5%polypeptide group stimulated self-assembly to form hydrogel.It was determined that human serum albumin in platelet-rich plasma could stimulate the self-assembly of polypeptides.With the increase of the mass fraction of the polypeptide,the higher the storage modulus of the self-assembled polypeptide,the easier it was to form glue.(3)Transmission electron microscopy exhibited that the polypeptide nanofibers were short and disordered before the addition of human serum albumin.After the addition of human serum albumin,the polypeptide nanofibers became significantly longer and cross-linked into bundles,forming a dense fiber network structure.Under a scanning electron microscope,the polypeptides displayed a disordered lamellar structure before adding human serum albumin.After the addition of human serum albumin,the polypeptides self-assembled into cross-linked and densely arranged porous structures.(4)In conclusion,the novel polypeptide can self-assemble triggered by platelet-rich plasma and the self-assembly effect can be accurately adjusted according to the ratio of human serum albumin to polypeptide.This polypeptide has a sustained release effect on the growth factors of platelet-rich plasma,which can be used as a new biomaterial for tissue repair.

Objective:To exploring the application effect of doctors-nurses-patients theory of goal attainment combined with StMarys cluster intervention mode in patients with tracheotomy after stroke.Methods:Using convenient sampling method, a total of 130 stroke patients with tracheostomy who were admitted to Shangqiu First People's Hospital from August 2020 to February 2022 were selected as the research objects. The patients were divided into the control group and the observation group using the random number table method, with 65 cases in each group. The control group received routine nursing care, while the observation group applied doctors-nurses-patients theory of goal attainment combined with StMarys cluster nursing intervention mode on the basis of the control group. After intervention, scores of Self Rating Anxiety Scale (SAS) and Self Rating Depression Scale (SDS) and patient nursing satisfaction were compared between the two groups.Results:After intervention, the SAS and SDS scores of the observation group were lower than those of the control group, and the nursing satisfaction was higher than that of the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The doctors-nurses-patients theory of goal attainment combined with StMarys cluster intervention mode can help improve the psychological state of patients and increase nursing satisfaction.

Purpose To evaluate the short-term efficacy of Gefitinib based on the non-contrast CT radiomics model in patients with advanced lung adenocarcinoma before treatment.Materials and Methods Seventy-one patients with advanced lung adenocarcinoma and treated with Gefitinib in the First Affiliated Hospital of Harbin Medical University from January 2020 to May 2022 were retrospectively analyzed,the efficacy of the treatment was evaluated in the third month after receiving the treatment,and all patients were divided into the treatment-effective group(n=41)and the treatment-ineffective group(n=30)according to the criteria for evaluating the efficacy of solid tumors.All patients were randomized into the training group and the validation group according to 7∶3,the least absolute shrinkage and selection operator were used in the training group to screen the best radiomics features,and eight models were established,including K-proximity,Logistic regression,support vector machine,adaptive enhancement,gradient boosting,random forest,ensemble algorithm and Gaussian naive Bayes.The optimal model was selected by comparing the area under the receiver operating characteristic curve(AUC)and accuracy.The optimal model performance was tested in the validation group,the clinical usability of the best model was tested using decision curves,the accuracy of the predictive models was visualized using calibration curves.Results The seven best radiomics features were obtained by least absolute shrinkage and selection operator regression screening,the best model Logistic regression was selected in a variety of models,the AUC value of Logistic regression in the validation group was 0.774(95%CI 0.536-0.951),with a sensitivity of 0.846,a specificity of 0.556,an accuracy of 0.727,a recall of 0.846,and an F1-score of 0.733.Conclusion It is possible to screen out the sensitive population of advanced lung adenocarcinoma for targeted therapy based on CT radiomics models.

A large number of data show that the prevalence rate of alcoholic liver injury （ALI） is increasing year by year， and it has become one of the main causes of death due to chronic liver diseases such as liver cancer and liver cirrhosis. Quitting drinking is the main method for the prevention of ALI in modern medicine， and the main treatment methods include Western medicine with antioxidant and anti－fibrotic effects and nutritional support. However， Western medicine tends to have an unsatisfactory treatment effect and can only alleviate initial symptoms， and severe ALI still requires surgical treatment. Studies have shown that the monomers extracted from natural drugs and foods have obvious preventive and therapeutic effects on ALI， with high safety and easy access. Therefore， this article systematically summarizes the main natural drug and food monomers used for the prevention and treatment of ALI and proposes the idea of the combination of drug and food for the prevention and treatment of ALI from the perspective of paying attention to the whole process of health， in order to explore more effective prevention， health care， and treatment methods and provide ideas for research on the prevention and control of ALI.

Humans ; Aminoquinolines/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation/genetics* ; Standard of Care

Objective:To investigate the risk factors for the occurrence and poor in-hospital prognosis in patients with peripartum cardiomyopathy (PPCM).Methods:The clinical data of 35 patients with PPCM and 35 healthy pregnant women in Xuanwu Hospital, Capital Medical University and Beijing Friendship Hospital Affiliated to Capital Medical University from January 2003 to January 2022 were retrospectively analyzed. The personal histories, laboratory examination, imaging examination, cardiac function outcome, etc were collected. According to the left ventricular ejection fraction (LVEF) at discharge, the patients with PPCM were divided into in-hospital recovery group (LVEF≥50%, 18 cases) and prolonged disease group (LVEF<50%, 17 cases). Multivariate Logistic regression analysis was used to analyze independent risk factors of poor in-hospital prognosis in patients with PPCM.Results:Among 35 patients with PPCM, the age was (29.81 ± 5.37) years old, 17 cases (48.57%) complicated with gestational hypertension, 6 cases (17.14%) complicated with gestational diabetes mellitus, 24 cases (68.57%) of New York Heart Association (NYHA) cardiac function classification was Ⅲ to Ⅳ class, and 4 cases died (11.43%). The gestational age in patients with PPCM was significantly shorter than that in healthy pregnant women: (36.26 ± 4.27) weeks vs. (38.54 ± 4.59) weeks, the rates of multiple pregnancy and gestational hypertension were significantly higher than those in healthy pregnant women: 17.14% (6/35) vs. 2.86% (1/35) and 48.57% (17/35) vs. 11.43% (4/35), and there were statistical differences ( P<0.05 or <0.01). Compared with hospital recovery group, the patients in protracted disease group had shorter gestational age, larger left ventricular end-diastolic diameter, higher serum creatinine, C-reactive protein and amino-terminal pro-brain natriuretic peptide (NT-proBNP), worse NYHA cardiac function classification, and there were statistical differences ( P<0.05 or <0.01); but there were no statistical difference in LVEF at the first diagnosis and troponin I between two groups ( P>0.05). Multivariate Logistic regression analysis result showed that elevated creatinine was an independent risk factor for poor in-hospital prognosis in patients with PPCM ( OR = 4.554, 95% CI 1.536 to 13.684, P = 0.018). Conclusions:The gestational hypertension may be a risk factor for PPCM. The gestational hypertension, earlier onset time, enlarged left ventricular end-diastolic diameter, high NT-proBNP, high C-reactive protein, high creatinine and high cardiac function NYHA classification may be risk factors for poor in-hospital prognosis in patients with PPCM; and elevated creatinine is an independent risk factor for poor in-hospital prognosis in patients with PPCM.

Objective:To evaluate artificial intelligence constructed by deep convolutional neural network (DCNN) for the site identification in upper gastrointestinal endoscopy.Methods:A total of 21 310 images of esophagogastroduodenoscopy from the Cancer Hospital of Chinese Academy of Medical Sciences from January 2019 to June 2021 were collected. A total of 19 191 images of them were used to construct site identification model, and the remaining 2 119 images were used for verification. The performance differences of two models constructed by DCCN in the identification of 30 sites of the upper digestive tract were compared. One model was the traditional ResNetV2 model constructed by Inception-ResNetV2 (ResNetV2), the other was a hybrid neural network RESENet model constructed by Inception-ResNetV2 and Squeeze-Excitation Networks (RESENet). The main indices were the accuracy, the sensitivity, the specificity, positive predictive value (PPV) and negative predictive value (NPV).Results:The accuracy, the sensitivity, the specificity, PPV and NPV of ResNetV2 model in the identification of 30 sites of the upper digestive tract were 94.62%-99.10%, 30.61%-100.00%, 96.07%-99.56%, 42.26%-86.44% and 97.13%-99.75%, respectively. The corresponding values of RESENet model were 98.08%-99.95%, 92.86%-100.00%, 98.51%-100.00%, 74.51%-100.00% and 98.85%-100.00%, respectively. The mean accuracy, mean sensitivity, mean specificity, mean PPV and mean NPV of ResNetV2 model were 97.60%, 75.58%, 98.75%, 63.44% and 98.76%, respectively. The corresponding values of RESENet model were 99.34% ( P<0.001), 99.57% ( P<0.001), 99.66% ( P<0.001), 90.20% ( P<0.001) and 99.66% ( P<0.001). Conclusion:Compared with the traditional ResNetV2 model, the artificial intelligence-assisted site identification model constructed by RESENNet, a hybrid neural network, shows significantly improved performance. This model can be used to monitor the integrity of the esophagogastroduodenoscopic procedures and is expected to become an important assistant for standardizing and improving quality of the procedures, as well as an significant tool for quality control of esophagogastroduodenoscopy.