Fecal microbiota transplantation (FMT) technology originated in China during the Eastern Jin Dynasty and has rapidly developed over the past two decades, becoming a primary method for studying the causal relationship between gut microbiota and the occurrence and progression of diseases. At the same time, the therapeutic effects of FMT in the field of gastrointestinal diseases have gained widespread recognition and are gradually expanding into other disease areas. The FMT procedure is relatively complex, and there is currently no standardized method; its success is influenced by various factors, including the donor, recipient, processing of the fecal material, and the method of implantation. Given the increasingly recognized relationship between gut microbiota and various diseases, FMT has become a research hotspot in both scientific studies and clinical applications, achieving a series of significant advancements. To help researchers better understand this technology, this paper will outline the development history of FMT, summarize common operational methods in research and clinical settings, review its application progress, and look forward to future development directions.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

Catheter-related bloodstream infection(CRBSI)is an important factor leading to death in patients with venous catheterization.Selection of catheter locking solution has become an important part in maintaining venous catheter.Locking solution with different chemical components have different effects on preventing CRBSI.There-fore,selecting a suitable and effective solution for locking is an important method to reduce the occurrence of CRB-SI.This paper reviews different types of domestic and foreign locking solutions with single or compound chemical compositions in the prevention of CRBSI,so as to provide theoretical reference for clinical health care workers in the selection and further research in locking solution.

Aim To screen and study the expression of long non-coding RNA (IncRNA) in rats with middle cerebral artery occlusion (MCAO) with MCAO treated with Tao Hong Si Wu decoction (THSWD) and determine the possible molecular mechanism of THSWD in treating MCAO rats. Methods Three cerebral hemisphere tissue were obtained from the control group, MCAO group and MCAO + THSWD group. RNA sequencing technology was used to identify IncRNA gene expression in the three groups. THSWD-regulated IncRNA genes were identified, and then a THSWD-regu-lated IncRNA-mRNA network was constructed. MCODE plug-in units were used to identify the modules of IncRNA-mRNA networks. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) were used to analyze the enriched biological functions and signaling pathways. Cis- and trans-regulatory genes for THSWD-regulated IncRNAs were identified. Reverse transcription real-time quantitative pol-ymerase chain reaction (RT-qPCR) was used to verify IncRNAs. Molecular docking was used to identify IncRNA-mRNA network targets and pathway-associated proteins. Results In MCAO rats, THSWD regulated a total of 302 IncRNAs. Bioinformatics analysis suggested that some core IncRNAs might play an important role in the treatment of MCAO rats with THSWD, and we further found that THSWD might also treat MCAO rats through multiple pathways such as IncRNA-mRNA network and network-enriched complement and coagulation cascades. The results of molecular docking showed that the active compounds gallic acid and a-mygdalin of THSWD had a certain binding ability to protein targets. Conclusions THSWD can protect the brain injury of MCAO rats through IncRNA, which may provide new insights for the treatment of ischemic stroke with THSWD.

Objective:Chronic obstructive pulmonary disease(COPD)is a significant global public health issue.Modern medical treatments have both benefits and limitations,prompting increasing attention from scholars worldwide on traditional ethnic medicine,and the Zangsiwei Qingfei Mixture is a newly developed formula derived from the effective components of classical Tibetan medicine to treat chronic respiratory diseases.This study aims to investigate the clinical efficacy and safety of the Zangsiwei Qingfei Mixture combined with conventional treatment in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD). Methods:Sixty AECOPD patients admitted to the Second Xiangya Hospital of Central South University from May 2021 to May 2023 were enrolled and randomly divided into 2 groups,with 30 patients in each group.The control group received conventional treatment,including bronchodilators,anti-infection agents,expectorants,and oxygen therapy.The experimental group received the Zangsiwei Qingfei Mixture in addition to conventional treatment.The treatment duration was 7 d for both groups.Baseline data such as gender,age,body mass index(BMI),smoking status,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,COPD course,and the number of COPD exacerbations in the past year were collected.The primary efficacy indicators were assessed using the modified Medical Research Council(mMRC)dyspnea scale and the modified Borg scale.Secondary indicators included arterial lactic acid(LAC)and serum tumor necrosis factor alpha(TNF-α)levels.Safety indicators included liver and kidney function[alanine transaminase(ALT),aspartate transaminase(AST),serum creatinine(SCr),serum uric acid(SUA)],coagulation function[activated partial thromboplastin time(APTT),prothrombin time(PT),fibrinogen(FIB),and D-dimer].The generalized linear mixed model(GLMM)was used to evaluate the clinical efficacy and safety of the Zangsiwei Qingfei Mixture. Results:Before treatment,there were no statistically significant differences in general baseline data,grading of mMRC dyspnea scale,score of modified Borg scale,arterial LAC,ALT,AST,SCr,SUA,APTT,FIB,and D-dimer between the 2 groups(all P＞0.05).However,serum TNF-α and PT levels in the experimental group were significantly lower than those in the control group(both P＜0.05).GLMM analysis showed that after adjusting for pre-and post-treatment,gender,age,BMI,smoking status,GOLD classification,COPD course,and the number of COPD exacerbations in the past year,the experimental group demonstrated significantly lower grading of mMRC dyspnea scale(coefficient=-0.329,P=0.036),score of modified Borg scale(coefficient=-1.077,P=0.001),serum TNF-α level(coefficient=-14.378,P＜0.001),and arterial LAC level(coefficient=-0.409,P=0.012)compared to the control group.The Zangsiwei Qingfei Mixture had no significant effect on liver,kidney,or coagulation function indicators(all P＞0.05). Conclusion:The Zangsiwei Qingfei Mixture combined with conventional treatment can improve clinical symptoms and promote homeostasis in AECOPD patients,demonstrating safety and reliability.Combining modem medicine with traditional ethnic medicine offers a feasible approach to treating chronic respiratory diseases in the future.

o-Phthalaldehyde(OPA)is a new type of chemical disinfectant widely used in medical institutions.The development of new efficient and convenient detection platforms or methods for OPA is of great significance.In this work,in two-dimensional photonic crystal(2DPC)hydrogel,a responsive 2DPC hydrogel was prepared by functionalizing the hydrogel with ethylenediamine(EDA)and embedding amino groups.The amino group on the polymer chain of 2DPC hydrogel reacted with OPA,and with the increase of OPA concentration,the crosslinking density of the hydrogel also increased,resulting in the volume phase transition of the hydrogel,e.g.,shrinkage phenomenon.In the meantime,the spacing of 2DPC microspheres gradually decreased,while the diameter of Debye diffraction ring gradually increased.The results showed that the change of particle size spacing had a good linear relationship with logarithm of concentration of OPA in the range of 101?106 nmol/L,with the detection limit of 0.21 nmol/L(3σ/k).Therefore,the amino functionalized photonic crystal hydrogel sensor could realize the quantitative detection of OPA.The method was simple with low cost,ease to operate and use.Then the practicability of this hydrogel sensor for real sample was verified in the diluted clinical disinfectant.The recoveries of OPA in the diluted disinfectant were 100%?103%,with a relative standard deviations of 1.8%?5.5%.The results proved that 2DPC hydrogel sensor could be used for detection of OPA in disinfectant used for clinical endoscopes and other instruments.

The abuse and irrational use of antibiotics in human veterinary medicine has seriously endangered the ecological environment and human health.In this study,a fully automatic solid-phase disk extraction-stable isotope dilution-ultra-high performance liquid chromatography-mass spectrometry method for determination of 17 kinds of sulfonamides antibiotics(SAs)in water was established,which was then applied to determination of SAs in real samples including tap water,river water and seawater,respectively.Meanwhile,the residual characteristics were discussed and the ecological risks were assessed.With this method,1.0 L water sample with 0.5 g/L Na2EDTA(pH=3)was extracted and enriched by 3M SDB-XC disk,and eluted by 10 mL of mixture of methanol and acetone(1:1,V/V),and the pretreatment time of the sample was about 60 min per six samples.Under the optimized conditions,the linearity of the method for detection of 17 kinds of SAs ranged from 0.05 to 100 μg/L,with correlation coefficients(R2)>0.999.In addition,the detection limits(S/N=3)were as low as 0.012-0.052 ng/L,and the recoveries were in the range of 76%-110%,with relative standard deviations of 0.5%-9.6%(n=5).The results showed that no SAs was detected in tap water,while 3 and 9 kinds of SAs were detected in river water of Zhoushan,and seawater of Wenzhou Sea area in Zhejiang province,respectively.The total concentrations of the detected SAs were 0.875-21.826 ng/L and 1.024-20.768 ng/L in river water and seawater,respectively,and among which,sulfamethoxazole(SMX)was the predominant compound in river water and seawater,accounting for 81%and 74%of the total SAs,respectively.The ecological risk assessment showed that the risk quotients of the detected SAs in the river water and seawater in the study area for the three kinds of trophic organisms(algae,Daphnia and fish)were far less than 0.01,meaning that the ecological risk was low.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.

Objective To explore the value of CT enterography(CTE)in the clinical treatment efficacy evaluation of Crohn's disease(CD).Methods A total of 55 patients with CD confirmed by clinical and pathology were selected.All patients both underwent CTE and enteroscopy before and after treatment.After treatment,the patients were divided into the good curative effect group and the poor curative effect group according to Crohn's disease activity index(CDAI).The CT findings were both analyzed before and after treatment.Results There were significant differences in bowel wall thickness,bowel wall attenuation,bowel wall thickness type and"comb sign"of 55 CD patients before and after treatment(P＜0.05).After treatment,phlegmon,abscess,swollen lymph node enlargement,and intestinal fistula all decreased from 18％,7％,27％,and 2％to 2％,2％,9％,and 0％,respectively.Also,there were significant differences in bowel wall thickness,bowel wall attenuation,bowel wall thickness type and"comb sign"between the good curative effect group and the poor curative effect group(P＜0.05).Logistic regression analysis and receiver operating characteristic(ROC)curve analysis showed bowel wall thickness,bowel wall attenuation and bowel wall thickness type were the most valuable parameters for the treatment efficacy evaluation of CD patients.Conclusion CTE can fully show intestinal lesions and extrenteral complications,and is of great value in evaluating clinical treatment efficacy of patients.