ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

Objective: To investigate the self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province, so as to provide the basis for strengthening proactive blood pressure monitoring among residents. Methods: Permanent residents aged 35-75 years in six counties (cities, districts), Jiangsu Province, were selected using the stratified cluster sampling method in 2023. Data on basic information, disease history, and self-monitoring blood pressure behavior were collected, height and weight were measured to calculate the body mass index (BMI); and blood glucose and lipid levels were measured. Self-monitoring blood pressure behavior was defined as having measured blood pressure at least once in the past three months. Factors affecting self-monitoring blood pressure behavior were identified using a multivariable logistic regression model. Results: A total of 12 475 residents were surveyed, including 5 748 males and 6 727 females, with a male-to-female ratio of 1∶1.17. There were 3 855 residents aged 45-<55 years (30.90%) and 5 511 residents who had self-monitoring blood pressure behaviors (44.18%). Multivariable logistic regression analysis showed that the residents who were males (OR=1.167, 95%CI: 1.081-1.261), lived in rural areas (OR=1.430, 95%CI: 1.321-1.547), aged 45-75 years (45-<55 years, OR=1.384, 95%CI: 1.241-1.543; 55-<65 years, OR=1.397, 95%CI: 1.243-1.570; 65-75 years, OR=1.196, 95%CI: 1.049-1.363), had an annual household income ≥30 000 yuan (30 000-<60 000 yuan, OR=1.190, 95%CI: 1.072-1.321; 60 000-<110 000 yuan, OR=1.330, 95%CI: 1.191-1.485; ≥110 000 yuan, OR=1.746, 95%CI: 1.536-1.984), were overweight (OR=1.170, 95%CI: 1.070-1.280) or obese (OR=1.248, 95%CI: 1.120-1.391), were unaware (OR=1.221, 95%CI: 1.103-1.353) or aware (OR=3.937, 95%CI: 3.575-4.335) of having hypertension, were aware of having diabetes (OR=1.538, 95%CI: 1.354-1.749), and aware of having dyslipidemia (OR=1.265, 95%CI: 1.106-1.447) were more likely to have self-monitoring blood pressure behaviors. Conclusions Among the residents aged 35-75 years in Jiangsu Province, 44.18% had self-monitoring blood pressure behavior. Gender, place of residence, age, annual household income, BMI, hypertension, diabetes, and dyslipidemia were identified as influencing factors for self-monitoring blood pressure behavior.

ObjectiveTo analyze the correlation between the clinical symptoms， signs， syndrome characteristics and laboratory indicators of cough variant asthma （CVA） and deepen the understanding of the treatment of this disease based on the theory of "Fu Feng". MethodsAn observational study was conducted. A total of 207 CVA patients who visited the respiratory department of the Third Affiliated Hospital of Beijing University of Chinese Medicine from September 2022 to November 2023 were included. The information from the four diagnostic methods and the laboratory test results of patients were collected. Factor analysis was conducted on the information obtained through the four diagnostic methods in TCM， and the nature and location of CVA were extracted. Sample cluster analysis （Q clustering） and the K-means method were used for data clustering analysis to determine the syndrome types of CVA and analyze the syndrome characteristics and differences in laboratory indicators among different syndrome types. ResultsThe main symptom of CVA patients was cough， accompanied by symptoms such as itchy throat， foreign body sensation in the throat， dry throat， shortness of breath， dry mouth， chest tightness， hoarseness， bitter mouth， poor appetite， and skin itching. Factor analysis showed that the disease was located in the lung， involving the liver， spleen， and kidney. The pathological factors involved Yin deficiency， Yang deficiency， wind factor， dampness factor， Yin factor， and Qi stagnation. Cluster analysis revealed four syndrome types： Fengfu Yinshang syndrome， Shixie Neiyun syndrome， Tanyin Zufei syndrome， and Ganhuo Fanfei syndrome. Fengfu Yinshang syndrome accounted for the highest proportion， followed by Tanyin Zufei syndrome. There were no significant differences in eosinophil count and percentage， fractional nasal nitric oxide （FnNO） level， and pulmonary function indexes among the four syndromes. The levels of serum total IgE and fractional exhaled nitric oxide （FeNO） in patients with Fengfu Yinshang syndrome were significantly higher than those in patients with Shixie Neiyun syndrome and Tanyin Zufeisyndrome. ConclusionCough is the main symptom of CVA， accompanied by pharyngeal itching， foreign body sensation in the throat， dry throat， shortness of breath， dry mouth， and allergic manifestations. The disease involves the lung， liver， spleen， and kidneys. The essence of the pathogenesis lies in a latent dormant pathogen and a disorder of the pivot mechanism. The four common syndrome types are Fengfu Yinshang syndrome， Shixie Neiyun syndrome， Tanyin Zufei syndrome， and Ganhuo Fanfei syndrome. The TCM syndrome types are correlated with laboratory indexes. The serum total IgE and FeNO of patients with Fengfu Yinshang syndrome are worse.

ObjectiveTo observe the regulation effect of Sangmei Zhike granules on airway inflammation and cyclic adenosine monophosphate （cAMP）-protein kinase A （PKA）-cAMP response element binding protein （CREB） pathway in cough variant asthma （CVA） rats with Fengfu Yinshang syndrome. MethodsEight-week-old male rats were randomly divided into a blank group， model group， western medicine group， and traditional Chinese medicine （TCM） group. Except for the blank group， Fengfu Yinshang models of CVA were established in the other groups. On the 16th day of the experiment， the western medicine group was treated with budesonide aerosol inhalation （dosage of 0.5 g·L^-1）， and the TCM group was given Sangmei Zhike granules by gavage （dosage of 4.19 g·kg^-1·d^-1）， with each group treated once daily for 14 days. On the 30^th day of the experiment， lung function parameters were determined. Whole blood inflammatory cell detection， hematoxylin-eosin （HE） staining of lung tissue， and immunohistochemistry were used to detect the expression of CREB， phosphorylated CREB （pCREB）， and phosphorylated vasodilator-stimulated phosphoprotein （pVASP） proteins in rat lung tissue， and Reverse transcription quantitative polymerase chain reaction （Real-time PCR） was used to determine the protein expressions of cAMP， CREB， and PKA in rat lung tissue. Western blot （WB） was used to detect the expression of PKA， VASP， p-VASP， CREB， and p-CREB proteins. ResultsCompared with the model group， the average dynamic lung compliance （CDyn_average） in the TCM group increased （P0.05）. Compared with the model group， the TCM group showed a decrease in absolute and percentage values of neutrophils （NEUT%）， absolute values of lymphocytes （LYMPH）， absolute and percentage values of basophils （BASO%）， absolute values of monocytes （MONO）， absolute and percentage values of eosinophils （EOS%）， and white blood cells （WBC） （P0.05）. Compared with the western medicine group， the TCM group showed a decrease in MONO， EOS%， and LYMPH% and an increase in MONO% （P0.05）. ELISA results showed that compared with the model group， the TCM group had increased interferon-gamma （IFN-γ） and decreased interleukins （IL）-4， IL-5， IL-13， and total serum IgE， while the Western medicine group had increased IFN-γ and decreased IL-5， IL-13， and total serum IgE （P0.05）. Compared with the western medicine group， the TCM group had decreased IL-5 （P0.05）. HE staining results of rat lung tissue showed that the ciliated epithelium of the D bronchi in the TCM group recovered well. Mucous edema secretion decreased， and a small number of bronchiolar epithelial cells were shed， with reduced infiltration of inflammatory cells and the degree of epithelial injury. Immunohistochemical （IHC） results showed that compared with the model group， positive expressions of CREB， pCREB， and pVASP （brownish-yellow） were significantly increased in the TCM and western medicine groups. Real-time PCR results showed that compared with the model group， the relative expression levels of cAMP， CREB， and PKA in the TCM group were significantly increased （P0.05）， and compared with the western medicine group， the TCM group also showed significantly increased relative expression levels of cAMP， CREB， and PKA （P0.05）. WB results showed that compared with the model group， the expressions of PKA， VASP， p-VASP， CREB， p-CREB， and p-CREB/CREB proteins were increased in the TCM group， while p-VASP/VASP protein expression decreased （P0.05）. Compared with the western medicine group， the TCM group had increased expressions of PKA， VASP， and p-CREB proteins and decreased p-VASP/VASP expression （P0.05）. ConclusionSangmei Zhike granules have the effect of improving lung function and inhibiting airway inflammation in rats with CVA due to Fengfu Yinshang syndrome， possibly related to the activation of the cAMP/PKA/CREB pathway.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

OBJECTIVES: To characterize fine particulate matter (PM _2.5)-bound polycyclic aromatic hydrocarbons (PAHs) emitted from different cooking fumes and their exposure routes and assess their health-associated impact to provide a reference for health risk prevention from PAH exposure across different age and sex groups. METHODS: Sixteen PM _2.5-bound PAHs emitted from 11 cooking styles were analyzed using GC-MS/MS. The health hazards of these PAHs in the Handan City population (stratified by age and sex) were predicted using the incremental lifetime cancer risk ( ILCR) model. The respiratory deposition doses ( RDDs) of the PAHs in children and adults were calculated using the PM _2.5 deposition rates in the upper airway, tracheobronchial, and alveolar regions. RESULTS: The total concentrations of PM _2.5-bound PAHs ranged from 61.10 to 403.80 ng/m ³. Regardless of cooking styles, the ILCR _total values for adults (1.23 × 10 ^-6 to 3.70 × 10 ^-6) and older adults (1.28 × 10 ^-6 to 3.88 × 10 ^-6) exceeded the acceptable limit of 1.00 × 10 ^-6. With increasing age, the ILCR _total value first declined and then increased, varying substantially among the population groups. Cancer risk exhibited particularly high sensitivity to short exposure to barbecue-derived PAHs under equivalent body weights. Furthermore, barbecue, Sichuan and Hunan cuisine, Chinese cuisine, and Chinese fast food were associated with higher RDDs for both adults and children. CONCLUSION ILCR _total values exceeded the acceptable limit for both females and males of adults, with all cooking styles showing a potentially high cancer risk. Our findings serve as an important reference for refining regulatory strategies related to catering emissions and mitigating health risks associated with cooking styles.
Humans ; Polycyclic Aromatic Hydrocarbons/analysis* ; Cooking/methods* ; Male ; Female ; Particulate Matter/analysis* ; Adult ; Child ; Middle Aged ; Air Pollutants/analysis* ; Adolescent ; Air Pollution, Indoor/analysis* ; Young Adult ; Child, Preschool ; Aged ; China ; Inhalation Exposure ; Age Factors ; Sex Factors ; Cities ; Infant

Background:Postoperative nutritional status and nutritional support therapy are important driving factor for clinical outcomes in patients after lung transplantation.This study aims to evaluate the relationship between mNUTRIC scores and prognosis in patients after lung transplantation.Methods:A retrospective inclusion of 253 patients who underwent lung transplantation at Wuxi People's Hospital Affiliated to Nanjing Medical University from January 2020 to December 2022.The nutritional risk in patients after lung transplantation is much higher than in other critically ill patients.To explore the optimal threshold,patients were divided into three groups based on the tertiles of mNUTRIC scores,and clinical outcomes were compared.The predictive ability of the mNUTRIC score was analyzed using receiver operating characteristic(ROC)curve.The appropriate threshold was determined using the Youden index based on the highest combined sensitivity and specificity.Results:Among 253 patients,the 30-day mortality rate was 14.2%.The death group had higher age and BMI,with APACHE II,SOFA,and mNUTRIC scores all higher than those in the survival group.The median mNUTRIC score in the death group was 5.00(3.00～6.00).The higher the mNUTRIC score,the greater the gradual increase in 30-day mortality rate.When the mNUTRIC score was 4～6,the patient mortality rate was 21.21%,and when 7～9,it was 42.31%.The Q3 group had significantly prolonged mechanical ventilation time,was more prone to delayed weaning,had longer ICU length of stay,and higher tracheotomy rate.Multivariate Cox regression analysis and Kaplan-Meier survival curve showed that mNUTRIC score is an independent risk factor for 30-day mortality,with mortality rate increasing as the score increased(P<0.001).The area under the ROC curve(AUC)for mNUTRIC score was 0.765(95%CI:0.686,0.644).According to the Youden index,the optimal cutoff value is when mNUTRIC score equals 3.5,used to predict high nutritional risk and 30-day mortality in lung transplant patients.Conclusion:The mNUTRIC score has a good predictive effect on the prognosis of patients after lung transplantation and is expected to be applied in clinical practice as a routine assessment tool to help clinicians perform postoperative nutritional risk stratification.

Conducting local tolerance testing on parentaral drugs is of great significance for evaluating the clinical medication risks of drugs.Although relevant domestic and international guidelines provide detailed instructions on how to conduct local tolerance testing,it was found that some products still provide non-standard application materials,which affects the efficiency of drug development.This article summarizes the information on domestic and international guidance related to the local tolerance testing and elaborates on common problems based on specific application cases,with the aim of of providing reference for related work.

This article summarizes the domestic and international research progress of recombinant human follicle stimulating hormone(rFSH).According to relevant guidelines and application cases,the general requirements and common problems for non-clinical evaluation of rFSH are summarized.The clinical development prospects of long-acting rFSH products which is a hot research topic in recent years are analyzed and corresponding suggestions are given in order to provide reference for related work.

N-type voltage-gated calcium (Ca²⁺) channels (N-type VGCC, Ca_V2.2) mediate Ca²⁺ influx in response to action potential at the presynaptic terminal, and play an important role in synaptogenesis, neurotransmitter release and nociceptive signal transduction. It is a new target for the development of drugs for the treatment of neuralgia (chronic pain) and other major diseases. Due to the difficulty of calcium channel expression in vitro and the detection of channel current, there is a great lack of new drug screening models. In this study, we established and optimized the electrophysiological drug screening model using Xenopus laevis oocytes for the recombinant expression of Ca_V2.2 in vitro (this study were reviewed and approved by the Ethics Committee of Guangxi University, approval number: GXU-2023-0249). Firstly, the linear plasmids encoding cDNA of major subunit α1B and auxiliary subunits α2δ1 and β3 of rat Ca_V2.2 were used as templates for in vitro transcription to generate their related mRNA (cRNA), after which three kinds of cRNA were injected into Xenopus laevis oocytes at the mass ratio of 2∶1∶1 for expression. The two-electrode voltage clamp (TEVC) technique was used to detect the inward current produced by Ca_V2.2. At the same time, the expression conditions of Ca_V2.2 were optimized, and its gating function was characterized from the aspects of channel activation and inactivation. The results showed that 3-5 days after cRNA microinjection, stable Ca_V2.2-mediated barium ion (Ba²⁺) currents were successfully detected. The interference of endogenous potassium channels and Ca²⁺-activated chloride channels can be eliminated by tetraethylammonium hydroxide (TEAOH) and 1,2-bis(2-aminophenoxy)ethane-N,N,N',N'-tetraacetic acid tetrakis (BAPTA-AM) treatment. The maximum potential for Ca_V2.2 activation is 0 mV, and the current reverses to be outward when the membrane potential is greater than +50 mV. By fitting the steady-state activation and inactivation curves, the half-maximal activation potential and half-maximal inactivation potential of Ca_V2.2 are identified as -15.9 and -60.2 mV. In this study, a stable Ca_V2.2 expression system was established based on Xenopus laevis oocytes. The in vitro expression system can provide a new way for the screening of Ca_V2.2 active compounds or lead drugs.