ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

In recent years， the number of special clinical cases related to assisted reproductive technology （ART） for pregnancy has been on the rise annually. For example， gamete donation， assisted reproduction for couples of advanced maternal ages， and the ownership and disposition of embryos when one or both partners pass away， all involve the health of offspring and conflicts of interest in the implementation of ART. Although China’s ethical principles for ART include the protection of the offspring， the detailed rules are vague and urgently need to be supplemented and improved. In addition， the clinical application of ART lacks legislative collaborative governance. The corresponding administrative departments， practitioners， and infertile couples should work together. Starting from the perspective of focusing on the well-being of offspring born from the clinical application of ART， while conducting clinical research to address technical challenges， efforts should be made to overcome ethical dilemmas in the application of technology， comprehensively consider the well-being of offspring born from assisted reproductive treatments and help them seek the best care to promote their healthy growth.

Objective:To investigate the risk factors associated with post-prematurity respiratory disease (PPRD) in very preterm infants.Methods:A prospective cohort study was conducted, enrolling 369 very preterm infants who were admitted to the neonatal intensive care unit of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, within one week of birth from January 2019 to June 2023. Data on maternal and infant clinical characteristics, neonatal morbidities, and treatments during hospitalization were collected. The very preterm infants were divided into 2 groups based on whether they developed PPRD. Continuous variables were compared using Mann-Whitney U test, while categorical variables were compared using χ2 tests or continuity correction χ2 test. Multivariate Logistic regression analysis was used to identify the independent risk factors for PPRD in very preterm infants. Results:Among the 369 very preterm infants, 217 cases(58.8%) were male, with a gestational age of 30 (28, 31) weeks at birth and a birth weight of 1 320 (1 085, 1 590) g. Of these, 116 cases (31.4%) developed PPRD, while 253 cases (68.6%) did not. The very preterm infants in the PPRD group had a lower gestational age and lower birth weight (both, P<0.001). The PPRD group also had a higher proportion of males, lower Apgar scores at the 1 th minute after birth and the 5 th minutes after birth, a higher rate of born via cesarean delivery, and a higher incidence of bronchopulmonary dysplasia, more pulmonary surfactant treatment, longer durations of mechanical ventilation, longer total oxygen therapy, and lower Z-score for weight at discharge (all P<0.05). Multivariate Logistic regression analysis showed that gestational age ( OR=0.85, 95% CI 0.73-0.99, P=0.037), born via cesarean delivery ( OR=2.23, 95% CI 1.21-4.10, P=0.010), a duration of mechanical ventilation ≥7 days ( OR=2.51, 95% CI 1.43-4.39, P=0.001), and a Z-score for weight at discharge ( OR=0.82, 95% CI 0.67-0.99, P=0.040) were all independent risk factors for PPRD in very preterm infants. Conclusion:Very preterm infants with a small gestational age, born via cesarean section, mechanical ventilation ≥7 days, and a low Z-score for weight at discharge should be closely monitored for PPRD, and provided with standardized respiratory management after discharge.

Objective To investigate the therapeutic effect and underlying mechanism of Qishishenshu Capsule on renal fibrosis in mice with early diabetic nephropathy(DN).Methods A DN mouse model was established by multiple injections of streptozotocin.The mice were randomly divided into a normal group(NC),model group(DN),and Qishi group(QS)(0.9 g/(kg·d)),with eight mice in each group.Mice were gavaged continuously for 4 weeks,and fasting blood glucose(FBG)was measured weekly.Four weeks later,urinary albumin/creatinine(UACR),serum creatinine,and blood urea nitrogen were measured.Hematoxylin-eosin,periodicacid-Schiff,and Sirius red staining were used to analyze renal pathological changes.Real-time fluorescence quantitative reverse-transcription polymerase chain reaction was used to detect the mRNA levels of fibronectin(FN),collagen type Ⅰ alpha 1(Col1a1),and α-smooth muscle actin(α-SMA).Immunohistochemistry and Western blot were performed to detect FN,collagen type Ⅰ(Collagen Ⅰ),collagen typeⅢ(Collagen Ⅲ),α-SMA,Podocin,Nephrin,and transforming growth factor-β1/SMAD family member2/3(TGF-β1/Smad2/3)pathway-related proteins.Results Compared with mice in the NC group,those in the DN group showed significantly higher levels of FBG and UACR(P＜0.001),and mesangial hyperplasia,basement membrane thickening,and collagen deposition in the renal tissue.The mRNA levels of FN,Col1a1,and α-SMA were increased(P＜0.05).Protein levels of Podocin and Nephrin were decreased(P＜0.05).The levels of FN,Collagen I,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were increased(P＜0.05).Compared with the DN group,the QS group's level of UACR was decreased(P＜0.05),their renal pathological injury was alleviated,and mRNA levels of FN,Collagen Ⅰ,andα-SMA were attenuated(P＜0.05);whereas their protein levels of Podocin and Nephrin were elevated(P＜0.05).The levels of FN,Collagen Ⅰ,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were also decreased(P＜0.05).Conclusions Qishishenshu Capsule improved renal fibrosis in DN mice,probably through the inhibition of the TGF-β1/Smad2/3 signaling pathway.

Objective UPLC-Q-TOF-MS integrated molecular network strategy was used to rapidly analyze and identify the chemical components of Yuye detoxification Particle. Methods The secondary mass spectrometry data of compounds were obtained using mass spectrometry scanning in both positive and negative ion mode. The similarity of MS/MS fragmentation patterns was calculated to create the global natural product social molecular networking (GNPS) platform. The major components in Yuye detoxification Particle were quickly identified according to the molecular clusters with similar structures in GNPS. Manual analysis and identification of other compounds were performed according to the mass fragment ion information of the primary and secondary mass spectrum data and related references by using the molecular feature extraction (MFE) function of Agilent Masshunter Qualitative Analysis workstation and traditional Chinese Medicine composition database (TCM-DATA). Results A total of 89 compounds in Yuye detoxification Particle were identified by LC-MS,including 22 phenoliacids,21 flavonoids and their glycosides,6 iridoid glycosides,28 triterpenoid saponins and 12 other types of ingredients. Conclusion UPLC-Q-TOF-MS/MS integrated molecular network technology can be used for rapid and systematic identification of chemical components of Yuye detoxification Particle,which provides theoretical basis for its quality control and clinical application. The established molecular network can provide reference for rapid qualitative analysis of components of traditional Chinese medicine compound.

Seizures are a prevalent clinical manifestation during the neonatal period.The majority of neonatal seizures are transient symptoms caused by acute lesions，but in a few cases they are developmental epileptic encephalopathy with neonatal onset.Continuous video-EEG monitoring is the gold standard for diagnosing seizures in newborns,and complex seizures require comprehensive judgment using multi-channel monitoring such as synchronized EMG,blood oxygen,ECG,and respiratory monitoring.In 2021,the International League Against Epilepsy (ILAE) published the updated guidelines for the classification of neonatal seizures,proposing that neonatal seizures cannot be diagnosed if there is only clinical seizure without EEG evidence.Instead,they should be categorized into two types based on the presence of clinical movements and the characteristics of EEG changes during the seizure: electroclinical seizures and electrical seizures.Electroclinical seizures are categorized into motor seizures,non-motor seizures,sequential seizures,and unclassified seizures based on the symptoms exhibited during an attack.In 2023,the ILAE developed evidence-based recommendations for the management of antiseizure medications,discussed the treatment of neonatal seizures based on the latest evidence and emphasized the importance of video EEG in the treatment of neonatal seizures.Phenobarbital remains the first-line antiseizure medication,with phenytoin,levetiracetam,midazolam,or lidocaine as second-line agents.Pyridoxine should be considered for the treatment of neonatal seizures when first- and second-line drugs are ineffective.

Purpose/Significance To analyze the multidimensional interaction between the characteristics of traditional Chinese and western medicine in patients with type 2 diabetes mellitus and its influence on traditional Chinese medicine(TCM)syndrome differentia-tion.Method/Process Based on the real-world electronic medical record(EMR)data,the traditional association rule algorithm is im-proved,and the important TCM syndromes are screened out as dependent variables by increasing the respect index,and the logistic regres-sion algorithm is used to explore the influence of traditional Chinese and western medicine indexes on TCM syndromes.Result/Conclusion Based on 688 patients,112 association rules are obtained,of which 12 includes TCM syndromes.The respect of association rules between middle-earth stagnation syndrome and overweight/obesity is the highest,moreover,overweight/obesity patients have a higher prevalence rate of middle-earth stagnation syndrome.There is a strong correlation between middle-earth stagnation syndrome,peripheral neuropathy or hypertension and overweight/obesity.Patients with diabetic nephropathy are more likely to have qi and yin deficiency syndrome.

Metabolic syndrome （MS） is a complex group of clinical syndromes with obesity， abnormal glucose and lipid metabolism and hypertension as the main clinical features. Swertia mussotii is a commonly used medicine among the Tibetan people in China. Its efficacy is consistent with the pathogenesis of MS， which has the potential for symptomatic treatment of MS. It is found that effective ingredients such as gentiopicroside， sweroside， swertiamarin， mangiferin， and oleanolic acid can improve MS by regulating glucose and lipid metabolism， improving obesity， regulating the cardiovascular system， inhibiting chronic inflammation， oxidative stress， endoplasmic reticulum and autophagy， and improving intestinal microflora disorder.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.