Objective:To investigate the application value of nasolabial flaps in addressing tissue defects after resection of benign and malignant nasal vestibular lesions. Methods:The clinical data of patients with benign and malignant nasal vestibular lesions were analyzed retrospectively. There were 4 cases of squamous cell carcinoma, 2 cases of black hairy nevus and 1 case of chronic proliferative inflammatory lesions, all of which were repaired by adjacent nasolabial flap. Results:After 6 months of follow-up, none of the patients developed nasal vestibular contracture or nostril stenosis, and postoperative nasal ventilation function was good. Conclusion:The preoperative design of individual nasolabial flaps is very important for maintaining maxillofacial aesthetics, protectingthe nasolabial framework, and preserving postoperative nasal ventilation function.
Humans ; Retrospective Studies ; Middle Aged ; Nose Neoplasms/surgery* ; Surgical Flaps ; Male ; Female ; Adult ; Nose/surgery* ; Plastic Surgery Procedures/methods* ; Carcinoma, Squamous Cell/surgery* ; Aged ; Skin Transplantation

Objective To develop a diagnostic model combining the CT angiography(CCTA)-derived myocardial radiomics signatures with the CT-derived fractional flow reserve(CT-FFR)based on coronary CCTA and investigate the diagnostic accuracy of the hybrid model for hemodynamically significant coronary artery disease(CAD).Methods The patients presenting stable angina pectoris,diagnosed with CAD,and clinically referred for CCTA examination and invasive coronary angiography were prospectively recruited.Radiomics features of the left ventricular myocardium were extracted from the three main perfusion territories demarcated according to the coronary blood supply.The extracted features were first selected by the minimum redundancy maximum relevance feature ranking method.A least absolute shrinkage and selection operator Logistic regression algorithm with leave-one-out cross-validation was then employed to construct a radiomics model.The CT-FFR value was generated for each blood vessel.The area under the receiver operating characteristics curve(AUC_ROC),sensitivity,and specificity were adopted to evaluate the performance of each model against the reference standard invasive coronary angiography/FFR.Results A total of 70 patients[42 men and 28 women;(61±10) years old] were included in this study and complemented CCTA examination,with 175 vessels and the corresponding myocardial territories undergoing invasive coronary angiography/FFR.A total of 1 656 specific radiomics parameters were extracted,from which 14 features were selected to establish the radiomics model.The AUC_ROC,sensitivity,and specificity were 0.797(95%CI=0.732-0.861),77.1%,and 73.7%for the radiomics model,0.892(95%CI=0.841-0.943),81.4%,and 88.8%for the CT-FFR model,and 0.928(95%CI=0.890-0.965),83.3%,and 88.4%for the hybrid model,respectively.The hybrid model outperformed the radiomics model and CT-FFR alone(P=0.040).Conclusions The radiomics signatures of the vessel-related myocardium from CCTA could provide incremental value to the diagnostic performance of CT-FFR and improve vessel-specific ischemia detection.The hybrid model combining CT-FFR with radiomics signatures is potentially feasible for improving the diagnostic accuracy for hemodynamically significant CAD.
Coronary Angiography/methods* ; Tomography, X-Ray Computed ; Humans ; Hemodynamics ; Coronary Artery Disease/diagnostic imaging* ; Male ; Female ; Middle Aged ; Aged ; Radiomics ; Angina Pectoris/diagnostic imaging* ; China ; Image Processing, Computer-Assisted ; Coronary Vessels/diagnostic imaging*

Objective To investigate the effect of fluoxetine(FLX)in allivating depressive-like behaviors in chronic unpredictable mild stress(CUMS)rats through regulation of phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/AKT/mTOR)signaling pathway.Methods Twenty-four rats were randomly divided into four groups according to random number table method:Con group(healthy rats),CUMS group(CUMS-induced depressive rat model),FLX group(CUMS-induced depressive rat model intraperitoneally injected with 10 mg/kg FLX),and LY294002 group(CUMS-induced depressive rat model intraperitoneally injected with 0.002 μg/kg LY294002),with six rats in each group.The rats were exposed to a chronic unpredictable stress(CUS)environ-ment to establish depressive model.Behavioral indicators of rats in each group were observed and recorded,including sucrose preference test,immobility duration in the tail suspension test,and the immobility time in the forced swimming test.The levels of adrenocorticotropic hormone(ACTH),cortisol(CORT),interleukin(IL)-1β,IL-6,and tumor necrosis factor-α(TNF-α)in the serum of rats in each group were detected.The content of brain-derived neurotrophic factor(BDNF)in the hippocampal tissue was detected by immunohistochemistry.The expression levels of related proteins in the PI3K/AKT/mTOR signaling pathway were detected by Western blotting.Results Compared with the Con group,the CUMS group showed a decreased sucrose preference rate,BDNF level,p-PI3K/PI3K,p-AKT/AKT,and p-mTOR/mTOR,as well as prolonged immobility duration in the tail suspension test,prolonged immobility time in the forced swimming test,and increased levels of ACTH,CORT,IL-1β,IL-6,and TNF-α(P＜0.05).Compared with the CUMS group,the FLX group exhibited an increased sucrose preference rate,BDNF level,p-PI3K/PI3K,p-AKT/AKT,and p-mTOR/mTOR,as well as shortened immobility duration in the tail suspension test,shortened immobility time in the forced swimming test,and decreased levels of ACTH,CORT,IL-1 β,IL-6,and TNF-α,with statistically significant differences(P＜0.05).Compared with the FLX group,the LY294002 group showed a decreased sucrose preference rate,BDNF level,p-PI3K/PI3K,p-AKT/AKT,and p-mTOR/mTOR,as well as prolonged immobility duration in the tail suspension test,prolonged immobility time in the forced swimming test,and increased levels of ACTH,CORT,IL-1β,IL-6,and TNF-α,with statistically significant differences(P＜0.05).Conclusion FLX can regulate the secretion of ACTH,CORT,and BDNF,inhibit neuroinflammation,and improve depres-sive-like behaviors in CUMS rats,possibly by activating the PI3K/AKT/mTOR signaling pathway.

OBJECTIVE To conduct qualitative analysis of chemical constituents in the crude extract of Modified Ermiao Formu-la,along with its blood-absorbed components and metabolites in rats post-administration employing ultra-performance liquid chroma-tography coupled with quadrupole-exactive orbitrap tandem mass spectrometry(UPLC-Q-Exactive Orbitrap-MS/MS).METHODS Separation was performed on a Waters HSS T3 column(100 mm×2.1 mm,1.8 μm)using gradient elution with 0.1%formic acid in water(mobile phase A)and 0.1%formic acid in acetonitrile(mobile phase B),under controlled conditions:column temperature maintained at 40℃,flow rate set to 0.3 mL·min-1,and injection volume fixed at 2 μL.Mass spectrometric data acquisition utilized an electrospray ionization(ESI)source with scanning in both positive and negative ion modes.RESULTS By analyzing precise mo-lecular weights,retention times,and MS/MS fragmentation patterns,and cross-referencing these against established databases and published literature,173 chemical constituents were definitively identified in the Modified Ermiao Formula crude extract.These prima-rily comprised flavonoids,organic acids,and alkaloids.Additionally,32 prototype components and 13 metabolites were characterized in the serum of dosed rats.Organic acids constituted the predominant class of serum prototype components,undergoing in vivo metabo-lism principally through demethylation and carboxyl glucuronidation.CONCLUSION This study provides the initial delineation of blood-absorbed prototype components derived from Modified Ermiao Formula,with concomitant identification of their metabolites,thereby establishing a foundational framework for elucidating the pharmacologically active constituents of this formula.

OBJECTIVE To conduct qualitative analysis of chemical constituents in the crude extract of Modified Ermiao Formu-la,along with its blood-absorbed components and metabolites in rats post-administration employing ultra-performance liquid chroma-tography coupled with quadrupole-exactive orbitrap tandem mass spectrometry(UPLC-Q-Exactive Orbitrap-MS/MS).METHODS Separation was performed on a Waters HSS T3 column(100 mm×2.1 mm,1.8 μm)using gradient elution with 0.1%formic acid in water(mobile phase A)and 0.1%formic acid in acetonitrile(mobile phase B),under controlled conditions:column temperature maintained at 40℃,flow rate set to 0.3 mL·min-1,and injection volume fixed at 2 μL.Mass spectrometric data acquisition utilized an electrospray ionization(ESI)source with scanning in both positive and negative ion modes.RESULTS By analyzing precise mo-lecular weights,retention times,and MS/MS fragmentation patterns,and cross-referencing these against established databases and published literature,173 chemical constituents were definitively identified in the Modified Ermiao Formula crude extract.These prima-rily comprised flavonoids,organic acids,and alkaloids.Additionally,32 prototype components and 13 metabolites were characterized in the serum of dosed rats.Organic acids constituted the predominant class of serum prototype components,undergoing in vivo metabo-lism principally through demethylation and carboxyl glucuronidation.CONCLUSION This study provides the initial delineation of blood-absorbed prototype components derived from Modified Ermiao Formula,with concomitant identification of their metabolites,thereby establishing a foundational framework for elucidating the pharmacologically active constituents of this formula.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To analyze the incidence of abnormal hemoglobin(Hb)in neonates in Guangzhou area,as well as the results of quantitative analysis of Hb in neonatal umbilical cord blood and genetic diagnosis of thalassemia in neonates with abnormal Hb;And to explore the hematological phenotypes and clinical characteristics of neonates with abnormal Hb and their parents,providing a reference for eugenics and childcare.Methods:650 neonates born at Guangdong Provincial People's Hospital who underwent Hb electrophoresis were included in this study.The results of routine blood test of umbilical cord blood,Hb electrophoresis and α-,β-thalassemia gene detection of the neonates were collected.The genotype distribution of thalassemia in the neonates was analyzed.Additionally,the abnormal Hb content of α and β variants was studied.Furthermore,the differences in hematological parameters between abnormal Hb neonates and normal neonates and α-thalassemia neonates,as well as between the parents of abnormal Hb neonates and normal adults were compared.Results:Among the 650 neonates,332(51.08％)were diagnosed with thalassemia,including 235 cases of α-thalassemia(36.15％),79 cases of β-thalassemia(12.15％),and 18 cases of compound α β-thalassemia(2.77％).Among all the α-thalassemia genotypes,the most prevalent one was--SEA/α α(48.94％),followed by-α3.7/α α(20.00％),-α42/α α(11.06％),and α α CS/α α(8.94％).The four most common genotypes of β-thalassemia were β CD41-42(32.91％),βIVS-Ⅱ-654(26.58％),β-28(21.52％),and β E(10.13％),respectively.275 cases of abnormal bands were found in Hb electrophoresis of umbilical cord blood,with a detection rate of 42.31％.The abnormal Hb content ofα-variant in the neonates was significantly higher than that of β-variant(P＜0.001).The levels of Hb,MCV,MCH,Hb A,and Hb F in neonates with abnormal Hb were lower than those in normal neonates,while the RDW-CV was higher than that in normal neonates,with statistical significantce(P＜0.05).The levels of RBC and Hb A in neonates with abnormal Hb were lower than those in neonates with α-thalassemia,while the level of MCH was higher than that in neonats withα-thalassemia,with statistical significance(P＜0.05).The levels of Hb,MCV,MCH,and Hb A in parents of neonates with abnormal Hb were lower than those in normal adults,while the RDW-CV was higher than that in normal adults,and the differences were statistically significant(P＜0.05).Conclusion:The abnormal Hb content of α-variant in the neonates is significantly higher than that of β-variant in the neonates in Guangzhou,which can help to presume whether it isα chain or β chain based on the abnormal Hb content,providing a reference for globin gene sequencing.Meanwhile,analysis of various hematological screening-related indicators in neonates in the early stage is beneficial for early warning of the occurrence of abnormal Hb combined with thalassemia,reducing missed diagnoses to a certain extent.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score ≥ 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells ≥ 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

Calcified lesions increase the difficulty of interventional therapy for coronary heart disease,and increase the risk of perioperative and long-term complications.Pretreatment of calcified lesions is very important.Coronary lithotripsy(IVL)is used more and more in calcified lesions,and many clinical trials have proved its effectiveness and safety.Stent underexpansion is an important risk factor for stent thrombosis and restenosis,which increases the incidence of complications.At present,there is no effective coping strategy or clear consensus or guidelines for the treatment of stent underexpansion caused by calcified lesions.There are few reports about the treatment of stent under expansion by IVL,and most of them are case reports and small sample studies.In this paper,two cases of stent under expansion were reported.After stent implantation,stent under expansion was found,and IVL was used to treat the cases,which achieved good results.This paper reports 2 cases of stent under expansion to explore the efficacy and safety of IVL in the treatment of such lesions.