Atopic dermatitis （AD） is a chronic， recurrent， inflammatory， and pruritus skin disease caused by multiple internal and external factors， ranking first in the global burden of skin diseases. Due to the adverse reactions and high costs of conventional treatments and biologics， the development of natural products has attracted much attention. The nuclear factor-κB （NF-κB） signaling pathway is a key pathway for inhibiting inflammation and modulating immunity. This paper summarizes the pharmacological effects and molecular mechanisms of natural products such as flavonoids， alkaloids， phenols， terpenoids， coumarins， glycosides， and anthraquinones via NF-κB signaling pathway， aiming to provide guidance for the development of natural products. Basic studies have shown that natural products have high safety and efficacy. Oral or topical administration of natural products can regulate the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， mitogen-activated protein kinase （MAPK）， nuclear factor erythroid 2-related factor 2 （Nrf2）， high mobility group box 1 protein （HMGB1）/receptor for advanced glycation endproducts （RAGE）， and nucleotide-binding oligomerization domain-like receptor protein 3 （NLRP3） signaling pathways to exert anti-inflammatory， anti-allergy， antioxidant activities， thus reversing the pathological changes of AD. However， it is worth noting that the clinical application of natural products is still insufficient， and more rigorous clinical trials are still needed to verify their effects. The basic experiments and clinical evidence prove that natural products may play a role in alleviating AD， which provide a basis for evaluating the functioning mechanism of natural active substances and enrich the candidates for the development of potential drugs.

Objective: To provide the mechanism-based pharmacotherapy of the Huatan Qushi formula (HTQS formula), for the health management and treatment of non-alcoholic fatty liver disease (NAFLD). Methods: A rat model of NAFLD was employed to examine the efficacy and safety of the HTQS formula. In vivo active components and potential mechanisms of the HTQS formula were identified using UPLC‒MS/MS combined with network pharmacology. The influence of the HTQS formula on the dominating proteins in PI3K/Akt pathway was validated in vivo using western blot. Finally, 16S rRNA sequencing of the gut microbiome was conducted followed by targeted metabolomics detecting fecal short-chain fatty acids (SCFAs) and bile acids to determine the impact of the HTQS formula on gut microbiota. Results: The HTQS formula reduced weight gain and hepatic steatosis in NAFLD rats and decreased serum total cholesterol (TC), triglycerides, blood glucose, and insulin resistance (IR) without causing liver or kidney injury. We detected 28 components using UPLC‒MS/MS and identified 439 shared targets between NAFLD and the HTQS formula. Primarily, we focused on the PI3K/Akt signaling pathway based on protein‒protein interaction network analysis. We validated that the HTQS formula inhibited liver steatosis and inflammation by increasing the phosphorylation levels of PI3K, AKT, P27, GSK3β in the PI3K/Akt signaling pathway. 16S rRNA sequencing revealed that the HTQS formula reduced the abundance of the genus Family_XIII_AD3011_group, which was positively correlated with IR and taurodeoxycholic acid. In addition, Lachnospiraceae_UCG_010 inversely correlated with TC and five bile acids, which could be essential to the therapeutic effect of the HTQS formula against NAFLD. Conclusions The HTQS formula proved to be an effective pharmacotherapy for NAFLD without causing liver or kidney injury. Multiple potent components of the HTQS formula could alleviate liver steatosis and lipid metabolism disorder by modulating the PI3K/Akt signaling pathway and restoring gut microbiota composition.

OBJECTIVE: To explore the clinical and genetic characteristics of two children with Williams-Beuren syndrome (WBS). METHODS: Two children who had presented at the Department of Pediatrics, General Hospital of Ningxia Medical University respectively on January 26 and March 18, 2021 were selected as the study subjects. Clinical data and results of genetic testing of the two patients were analyzed. RESULTS: Both children had featured developmental delay, characteristic facies and cardiovascular malformation. Child 1 also had subclinical hypothyroidism, whilst child 2 had occurrence of epilepsy. Genetic testing revealed that child 1 has harbored a 1.54 Mb deletion in the 7q11.23 region, whilst child 2 has a 1.53 Mb deletion in the same region, in addition with a c.158G>A variant of the ATP1A1 gene and a c.12181A>G variant of the KMT2C gene. Based on the guidelines from the American College of Medical Genetics and Genomics, the c.158G>A and c.12181A>G variants were rated as variants of unknown significance (PM1+PM2_Supporting+PP2+PP3；PM2_Supporting). CONCLUSION Both children had characteristic features of WBS, for which deletions of the 7q11.23 region may be accountable. For children manifesting developmental delay, facial dysmorphism and cardiovascular malformations, the diagnosis of WBS should be suspected, and genetic testing should be recommended to confirm the diagnosis.
Child ; Humans ; Williams Syndrome/diagnosis* ; Genetic Testing ; Facies ; Epilepsy/genetics* ; Chromosomes, Human, Pair 7/genetics* ; Chromosome Deletion

Objective:To analyze the correlation between sleep midpoint and sleep quality in insomnia patients with type 2 diabetes mellitus (T2DM).Methods:By adopting current situation investigation research, total of 150 T2DM patients hospitalized in the Department of Endocrinology, the First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine from November 2021 to July 2022 were selected as the research objects. The general information questionnaire, Pittsburgh Sleep Quality Index (PSQI), anxiety scale (SAS) and Depression Scale (SDS) were used to investigate, and then analysis the datum.Results:Among 150 T2DM insomnia patients, 41 cases (27.33%) were in the early midpoint sleep group, 37 cases (24.67%) were in the middle midpoint sleep group, and 72 cases (48.00%) were in the late midpoint sleep group. There were significant differences in the distribution of sex, age and BMI level among different sleep midpoint groups ( χ2=7.24, 13.36, 15.93, all P<0.05). The scores of time to fall asleep at the midpoint of sleep in the 3 groups were (2.12 ± 1.25), (2.65 ± 0.79), (2.33 ± 1.02), the difference was significant ( F=2.14, P<0.05); the daytime disability scores in the 3 groups were (1.39 ± 1.36), (2.16 ± 1.12), (1.85 ± 1.32), the difference was significant ( F=3.17, P<0.05). Logistic regression analysis of disorder showed that the time to fall asleep ( OR=4.922, P<0.05) and daytime disability ( OR=4.043, P<0.05) had significant influence to the middle midpoint of sleep group when the early midpoint of sleep group as the control, while the male ( OR=2.182, P<0.05), 50 - 70 years old ( OR=5.005, P<0.05) and BMI over fat side ( OR=3.488, P<0.05) had significant influence to the late midpoint of sleep group. Conclusions:Medical staff should pay attention to the sleep quality of T2DM patients, pay attention to the sleep midpoint of patients, and improve patients′cognition of healthy sleep patterns.

Objective:To explore the accuracy of artificial intelligence (AI) system based on deep learning in evaluating bone age of children with abnormal growth and development.Methods:The positive X-ray films of the left wrist of children with abnormal growth and development who were treated at the Affiliated Hospital of Guizhou Medical University from January 2020 to December 2021 were collected retrospectively. A total of 717 children were collected, including 266 males and 451 females, aged 2-18 (11±3) years. Based on Tanner Whitehouse 3 (TW 3)-RUS (radius, ulna, short bone) and TW3-Carpal (carpal bone) method, bone age was measured by 3 senior radiologists, and the mean value was taken as reference standard. The bone ages were independently evaluated by the AI system (Dr.Wise bone age prediction software) and two junior radiologists (physicians 1 and 2). The accuracy within 0.5 year, the accuracy within 1 year, the mean absolute error (MAE) and the root mean square error (RMSE) between the evaluation results and the reference standard were analyzed. Paired sample t-test was used to compare MAE between AI system and junior physicians. Intraclass correlation coefficient (ICC) was used to evaluate the consistency between AI system, junior physician and reference standard. The Bland-Altman diagram was drawn and the 95% consistency limit was calculated between AI system and reference standard. Results:For TW3-RUS bone age, compared with the reference standard, the accuracy within 0.5 year of AI system, physician 1 and physician 2 was 75.3% (540/717), 62.1% (445/717) and 66.2% (475/717), respectively. The accuracy within 1 year was 96.9% (695/717), 86.3% (619/717) and 89.1% (639/717), respectively. MAE was 0.360, 0.565 and 0.496 years, and RMSE was 0.469, 0.634 and 0.572 years, respectively. For TW3-Carpal bone age, compared with the reference standard, the accuracy within 0.5 year of AI system, physician 1 and physician 2 was 80.9% (580/717), 65.1% (467/717) and 71.7% (514/717), respectively. The accuracy within 1 year was 96.0% (688/717), 87.3% (626/717) and 90.4% (648/717), respectively. MAE was 0.330, 0.527 and 0.455 years, and RMSE was 0.458, 0.612, 0.538 years, respectively. Based on TW3-RUS and TW3-Carpal bone age, the MAE of AI system were lower than those of physician 1 and physician 2, and the differences were statistically significant ( P all<0.001). The evaluation results of AI, physician 1 and physician 2 were in good agreement with the reference standard (ICC all>0.950). The Bland-Altman analysis showed that the 95% agreement limits of AI system for assessing TW3-RUS and TW3-Carpal bone age were -0.75-1.02 years and-0.86-0.91 years, respectively. Conclusion:The accuracy of AI system in evaluating the bone age of children with abnormal growth and development is close to that of senior doctors, better than that of junior doctors, and in good agreement with senior doctors.

Objective:To retrospectively identify the risk factors for postoperative nausea and vomiting (PONV)in the obese patients undergoing laparoscopic sleeve gastrectomy(LSG).Methods:The medical records from the obese patients who underwent elective laparoscopic sleeve gastrectomy from January 2018 to July 2022 were retrospectively collected. PONV was defined according to the use of remedial antiemetics in the nursing record sheet, and the patients were divided into PONV group and non-PONV group according to the occurrence of PONV that required treatment. The logistic regression analysis was used to identify the risk factors for PONV after LSG.Results:A total of 1 264 obese patients were included in this study, and there were 263 patients in PONV group, and the incidence of PONV was 20.81%. According to the results of multifactorial logistic regression analysis, female( OR=1.533, 95% CI 1.007-2.334, P=0.046), higher level of serum alanine aminotransferase concentrations ( OR=1.006, 95% CI 1.002-1.009, P=0.001), higher level of C-reactive protein ( OR=1.013, 95% CI 1.005-1.022, P=0.001), general anesthesia combined with nerve block (general anesthesia combined with TAPB: OR=2.737, 95% CI 1.817-4.121, P<0.001; general anesthesia combined with other nerve block: OR=1.899, 95% CI 1.249-2.889, P=0.003) and intraoperative use of sufentanil ( OR=2.114, 95% CI 1.308-3.415, P=0.002) were independent risk factors for PONV( P<0.05). However, the higher level of serum follicle-stimulating hormone concentrations ( OR=0.941, 95% CI 0.895-0.988, P=0.015), intraoperative use of dexmedetomidine ( OR=0.640, 95% CI 0.417-0.982, P=0.041), and administration of prophylactic antiemetic medication (antiemetic drugs during operation OR=0.669, 95% CI 0.469-0.955, P=0.027; antiemetic drugs after operation OR=0.303, 95% CI 0.182-0.503, P<0.001; antiemetic drugs during and after operation OR=0.215, 95% CI 0.107-0.434, P<0.001) were protective factors for PONV. Conclusions:Female, higher levels of serum alanine aminotransferase and C-reactive protein, general anesthesia combined with nerve block and intraoperative use of sufentanil are independent risk factors for PONV, while higher levels of follicle-stimulating hormone, intraoperative use of dexmedetomidine and administration of prophylactic antiemetic medication are protective factors for PONV among obese patients undergoing LSG.

Objective:We evaluated frailty in elderly hospitalized patients with atrial fibrillation and analyzed the relevance, consistency, and diagnostic power of different frailty tools.Methods:From September 2018 to April 2019, a total of 197 elderly patients with atrial fibrillation aged ≥ 65 years in Beijing Hospital, Chinese PLA General Hospital, and Beijing Tsinghua Changgung Hospital were prospectively enrolled.Five frailty tools, including the clinical frailty scale(CFS), FRAIL scale(FRAIL), Fried frailty phenotype(Fried), Edmonton frail scale(EFS), and comprehensive geriatric assessment-frailty index(CGA-FI), were used for frailty assessment.Results:A total of 197 hospitalized elderly patients with atrial fibrillation were enrolled, with an average age of(77.5±7.1)years old(57.4% male). The prevalence of frailty, according to the five frailty tools, were 25.4%(FRAIL), 27.9%(EFS), 34.5%(Fried), 40.6%(CFS), and 42.6%(CGA-FI), respectively.CFS had a good correlation(correlation coefficient 0.80)and and consistency(Kappa value 0.71, 95% CI 0.61~0.81)with CGA-FI.The combined frailty index was used as the gold standard for frailty diagnosis.The results showed that CFS and CGA-FI had high diagnostic sensitivity(95.9 % and 98.0 %, respectively)and specificity(77.7 % and 75.7 %, respectively). Conclusions:Frailty is common in elderly hospitalized patients with atrial fibrillation, showing multidimensional features, and physical weakness is not prominet.CFS and CGA-FI are recommended for the assessment of frailty in patients with atrial fibrillation, which had good correlation and consistency.

Objective:To observe and analyze the effect of double and single bridge exercise on the electromyographic activities of related core muscle groups in stroke patients, and to explore its rules and characteristics.Methods:A prospective cohort study was conducted on 40 stroke patients hospitalized in the Department of rehabilitation medicine, Hefei second people's Hospital, Anhui Province from March 2020 to May 2021.The surface electromyography (sEMG) instrument was used to collect the surface electromyographic signals of erector spinalis, rectus abdominis, gluteus maximus and biceps femoris during double and single bridge exercise, and the root mean square (RMS) and integrated electromyography (iEMG) of the time domain indexes were analyzed. The measurement data conforming to normal distribution was expressed in xˉ± s.The non normal distribution data was expressed in M (Q1, Q3). Wilcoxon rank sum test was used to compare the difference between the two groups. Results:There was significant difference between RMS (30.0 (21.3, 45.5) μV vs. 24.0 (14.0, 35.8) μV) and IEMG (15.5. (10.0, 23.0) μV?s vs. 9.0 (5.0, 13.0) μV?s s) values of gluteus maximus on the healthy side and the affected side during double bridge exercise ( Z values were 2.07, 4.19; P values were 0.039, <0.001, respectively). There was significant difference in RMS (31.0 (15.3, 70.0) μV ratio of the healthy and affected biceps femoris 17.0 (11.0, 28.8) μV) and IEMG (14.5 (8.0, 26.5) μV?s vs. 7.0 (5.0, 10.8) μV?s) values of biceps femoris on the healthy side during double bridge exercise ( Z values were 3.44, 3.64; P values were 0.001 and <0.001, respectively ). There was significant difference between RMS(38.5(32.3, 46.0) μV vs. 35.0(22.3, 43.0) μV) and IEMG (16.5(12.0, 22.8) μV?s vs. 12.0(7.0, 21.0) μV?s) values of the gluteus maximus on the healthy side during single bridge exercise ( Z values were 2.24, 2.45; P values were 0.025, 0.014, respectively). There was significant difference between RMS (38.0 (15.3, 70.0) μV vs. 19.0 (12.0, 35.5) μV) and IEMG (16.0 (10.0, 27.0) μV?s vs. 6.5 (5.0, 12.5) μV?s s) values of biceps femoris on the healthy side during single bridge exercise ( Z values were 2.98,4.34; P values were 0.003 and <0.001, respectively). There was significant difference between RMS (24.0 (14.0, 35.8) μV vs. 35.0 (22.3, 43.0) μV) and IEMG (9.0 (5.0, 13.0) μV?s vs. 12.0 (7.0, 21.0) μV?s) values of double and single gluteus maximus on the affected side ( Z values were 2.24, 1.99; P values were 0.025,0.047, respectively). Conclusion:Double bridge and single bridge exercise could improve the related core muscle groups of stroke patients with hemiplegia, and single bridge was better than double bridge for the activation of gluteus maximus

Objective:To assess whether cardiac structure and function are associated with frailty in elderly inpatients.Methods:This was a cross-sectional study.Inpatients aged 65 years or over, admitted to Beijing Hospital, Chinese PLA General Hospital and Beijing Tsinghua Changgeng Hospital, were consecutively recruited from September 2018 to April 2019.A total of 925 elderly inpatients were enrolled in the study, including 285 frailty patients and 640 non-frailty patients.Frailty was assessed with the Fried frailty phenotype.Clinical and echocardiographic data were collected.The association of cardiac structure and function with frailty was analyzed.Results:Compared with the non-frailty group, the frailty group was older, had lower body mass index, and had higher rates of heart failure, atrial fibrillation/atrial flutter, history of stroke/transient ischemic attack, renal insufficiency, and history of falls.N-terminal B-type natriuretic peptide(NT-proBNP)levels were higher while creatinine clearance and hemoglobin levels were lower(all P<0.05); The frailty group had a larger anterior-posterior left atrial diameter[(37.8±7.1)mm vs.(36.3±5.1)mm, t=-3.134, P=0.002]and a higher proportion with the left atrial anterior posterior diameter ≥45 mm[15.8%(45/285) vs.6.1%(39/640), χ2=22.452, P<0.001], a lower left ventricular ejection fraction[(60.1±9.5)% vs.(61.9±7.5)%, t=2.817, P=0.005]and a faster peak mitral inflow velocity[(0.8±0.3)cm/s vs.(0.7±0.2)cm/s, t=-2.675, P=0.003]. Multivariate logistic regression analysis showed that the left atrial anterior posterior diameter ≥45 mm was an independent correlation factor for frailty( OR=2.249, P=0.015). Increased age( OR=1.099, P<0.001), heart failure( OR=1.786, P=0.049), history of stroke/transient ischemic attack( OR=1.960, P=0.001)and decreased hemoglobin( OR=0.984, P=0.008)were independently associated with frailty. Conclusions:The left atrial anterior posterior diameter ≥45 mm and heart failure were independently associated with frailty.Assessing cardiac structure and function and screening for cardiovascular diseases in frailty patients should be emphasized.

Objective:To explore the predictive value of the modified NUTrition risk in the critically ill (mNUTRIC) score for chronic critical illness (CCI) in elderly sepsis patients.Methods:A prospective observational study was conducted. Elderly sepsis patients admitted to Medical Intensive Care Unit (MICU) of General Hospital of Southern Theatre Command for more than 24 h from August 2019 to January 2021 were enrolled. Age, sex, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, sequential organ failure assessment (SOFA) score, acute gastrointestinal injury (AGI) score, clinical frailty score and mNUTRIC score at admission, length of ICU stay, usage of mechanical ventilation and renal replacement therapy were recorded. According to the occurrence of CCI, patients were divided into the CCI group and rapid recovery (RAP) group, and the differences between the two groups were compared. The risk factor of CCI after sepsis in elderly patients were analyzed by log-binomial regression analysis. Receiver operating characteristic (ROC) analysis was performed for mNUTRIC score. Differences were considered significant at P<0.05. Results:Of the enrolled 91 sepsis patients, 14 (15%) patients died within the first week, 37 (41%) exhibited RAP and 40 (44%) developed CCI. The CCI patients were significantly older and presented a higher APACHE Ⅱ score, CFS score, mNUTRIC score, and usage of mechanical ventilation and renal replacement therapy compared with the RAP patients ( P<0.05). Multivariate regression analysis revealed that mNUTRIC score was an independent risk factor for the development of CCI in elderly sepsis patients, prevalence ratio was 1.503 (95% CI: 1.007-2.244). The area under the curve (AUC) of mNUTRIC score was 0.706 (95% CI: 0.592-0.805). Conclusions:The mNUTRIC score at the time of admission in the intensive care unit can be used to predict CCI after sepsis in elderly sepsis patients.