Solid organ transplantation (SOT) is an effective treatment method for various end-stage diseases. However, due to the need for long-term use of immunosuppressive drugs to prevent rejection reactions after the surgery, SOT recipients are generally in a state of low immune function, resulting in a significant increase in the risk of infection. Post-transplant infection, especially infections caused by multi-drug resistant bacteria, is one of the common complications for SOT recipients and is also a major cause of graft dysfunction, graft loss and even death of the recipients. As the global situation of bacterial resistance becomes increasingly severe, the burden of infectious diseases continues to increase, seriously threatening the survival prognosis and graft function of SOT recipients. The exploration of new antibiotic research and rational application strategies worldwide has become crucial. The development and launch of various new antibiotics have provided more options for clinical practice. Therefore, systematically reviewing the drug characteristics of new antibiotics and their application status in this special population of SOT recipients is of great significance for guiding clinical practice and improving patients’ prognosis.

Xuefu zhuyu decoction is a classic formula for promoting blood circulation and resolving blood stasis， characterised by its remarkable ability to treat different diseases with the same approach. Qi stagnation and blood stasis， the primary syndrome for which this formula is indicated， has been found through modern medical research to be intrinsically linked to a wide range of pathophysiological processes， including microcirculatory disorders， abnormalities in hemorheology， inflammatory responses and endothelial dysfunction； which opens up vast scope for the innovative application of traditional formulas. In terms of pharmacological effect and mechanism， the formula exerts a synergistic regulatory effect across multiple key pathological pathways， including the regulation of coagulation function， the maintenance of vascular structure and function， anti-inflammatory and immunomodulatory actions， the mitigation of oxidative stress， and the modulation of programmed cell death （such as pyroptosis and ferroptosis）. This systematically demonstrates its scientific rationale， which is based on integrated regulation through multiple constituents， multiple targets and multiple pathways. In terms of clinical application， the formula has expanded from cardiovascular diseases to multiple disciplines， including gastroenterology， respiratory medicine， urology， neurology， endocrinology， gynaecology and andrology， with evidence-based medical evidence continuing to accumulate. Current research still faces bottlenecks such as a relatively low level of clinical evidence， insufficient systems biology analysis of the mechanisms underlying the compound’s formulation， and a weak correlation between quality control indicators and therapeutic efficacy. Future efforts should focus on conducting multicentre randomised controlled trials for conditions where the formula demonstrates particular efficacy， deepening research into the relationship between integrated pharmacology and spectrum-efficacy relationship， and promoting the precise application and formulation innovation of classical herbal formulas.

Xuefu zhuyu decoction is a classic formula for promoting blood circulation and resolving blood stasis， characterised by its remarkable ability to treat different diseases with the same approach. Qi stagnation and blood stasis， the primary syndrome for which this formula is indicated， has been found through modern medical research to be intrinsically linked to a wide range of pathophysiological processes， including microcirculatory disorders， abnormalities in hemorheology， inflammatory responses and endothelial dysfunction； which opens up vast scope for the innovative application of traditional formulas. In terms of pharmacological effect and mechanism， the formula exerts a synergistic regulatory effect across multiple key pathological pathways， including the regulation of coagulation function， the maintenance of vascular structure and function， anti-inflammatory and immunomodulatory actions， the mitigation of oxidative stress， and the modulation of programmed cell death （such as pyroptosis and ferroptosis）. This systematically demonstrates its scientific rationale， which is based on integrated regulation through multiple constituents， multiple targets and multiple pathways. In terms of clinical application， the formula has expanded from cardiovascular diseases to multiple disciplines， including gastroenterology， respiratory medicine， urology， neurology， endocrinology， gynaecology and andrology， with evidence-based medical evidence continuing to accumulate. Current research still faces bottlenecks such as a relatively low level of clinical evidence， insufficient systems biology analysis of the mechanisms underlying the compound’s formulation， and a weak correlation between quality control indicators and therapeutic efficacy. Future efforts should focus on conducting multicentre randomised controlled trials for conditions where the formula demonstrates particular efficacy， deepening research into the relationship between integrated pharmacology and spectrum-efficacy relationship， and promoting the precise application and formulation innovation of classical herbal formulas.

Objective To investigate the activity concentrations of natural radionuclides in drinking water (tap water and well water) in urban and rural areas of Hohhot, assess the safety of drinking water, and to provide data support for local drinking water radioactivity monitoring and management. Methods Representative samples of well water and tap water were collected from nine banners/counties/districts in Hohhot. Activity concentrations were measured using a low-background gross α/β counter, an α spectrometer, inductively coupled plasma mass spectrometry, and a radium/radon analyzer. Results A total of nine tap water samples and nine well water samples were analyzed. For the tap water samples, gross α activity concentrations ranged from 0.093 to 0.193 Bq/L, gross β from 0.091 to 0.225 Bq/L, uranium mass concentrations from 2.32 to 10.36 μg/L, thorium mass concentrations from 0.09 to 0.20 μg/L,²¹⁰Po activity concentrations from below the minimum detectable limit to 0.41 mBq/L, and ²²⁶Ra activity concentrations from 8.70 to 13.35 mBq/L. For the well water samples, gross α activity concentrations ranged from 0.111 to 0.203 Bq/L, gross β from 0.111 to 0.270 Bq/L, uranium mass concentrations from 2.31 to 13.28 μg/L, thorium mass concentrations from 0.17 to 0.26 μg/L,²¹⁰Po activity concentrations from 1.03 to 2.12 mBq/L, and ²²⁶Ra activity concentrations from 15.38 to 23.63 mBq/L. Conclusion The activity concentrations of natural radionuclides in both well water and tap water in the Hohhot region were at environmental background levels and met national drinking water hygiene standards.

ObjectiveTo investigate the relationship between periodontitis severity and brain functional indices-amplitude of low-frequency fluctuations （ALFF） and fractional ALFF （fALFF） in cognitively normal middle-aged and older adults， and to examine their associations with cognitive performance. Methods42 cognitively normal middle-aged and older participants were enrolled. Periodontal data—including the number of remaining teeth （NTP）， bleeding on probing positivity rate （BOP%）， probing depth （PD）， and clinical attachment loss （CAL） as well as resting-state functional magnetic resonance imaging data were collected. Participants were divided into a mild periodontitis group and a moderate-to-severe periodontitis group according to periodontitis severity. Group differences in ALFF and fALFF were compared， and correlation analyses were performed. ResultsCompared with the mild periodontitis group， the moderate-to-severe group showed decreased ALFF values in the right lingual gyrus， superior occipital gyrus， paracentral lobule， and in the left calcarine cortex as well as the precentral and postcentral gyri. Decreased fALFF values were observed in the right lingual gyrus， cuneus， and left calcarine cortex. Indicators related to periodontitis progression ［BOP%， PD=4-5 mm （%）， PD≥6 mm （%）， CAL=3-4 mm （%） and CAL≥5 mm （%）］ were negatively correlated with ALFF， fALFF and cognitive performance， whereas indicators reflecting better periodontal function ［PD=1-3 mm （%） and CAL=0-2 mm （%）］ were positively correlated with these measures. ConclusionIn cognitively normal middle-aged and older adults， periodontitis severity is associated with alterations in brain functional activity and cognitive performance.

Zirconium dioxide(ZrO2)is a suitable solid phase microextraction(SPME)fiber coating due to its high thermal and chemical stability and excellent adsorption.Similarly,polydopamine(PDA)can also be utilized as SPME fiber coating because of its strong oxidation resistance and stability,desired adsorption as well as environmental friendliness.In this work,a novel zirconium dioxide-doped polydopamine(ZrO2@PDA)SPME fiber coating was quickly fabricated on the stainless steel(SS)by cyclic voltammetry(CV)using the etched SS wire as working electrode,a Pt rod as counter electrode and a saturated calomel electrode as reference electrode.Coupled with high performance liquid chromatography-ultraviolet detection(HPLC-UV),the extraction performance of the fabricated SS@ZrO2@PDA fiber was evaluated using typical aromatic compounds of polycyclic aromatic hydrocarbons(PAHs),ultraviolet filters(UvFs),phthalate acid esters(PAEs)and chlorophenols(CPs).The SS@ZrO2@PDA fiber showed excellent extraction capability for PAHs and PAEs,however,poor extraction capability for UvFs and no extraction capability for CPs.Therefore,PAHs were selected as target analytes and the key experimental factors on extraction efficiency were optimized.Under the optimized conditions,good linearity was obtained for the developed SPME-HPLC-UV method with the SS@ZrO2@PDA fiber.The limits of detection(LODs,S/N=3)were 0.018-0.082 μg/L.The developed method was successfully applied to determination of trace PAHs in different actual water samples with recoveries of 86.7%-102.4%and RSDs less than 8.2%.In addition,the fabricated novel fiber was simple to prepare and exhibited high stability,good reproducibility and long service life.

Biofilm formation is one of the key reasons that bacterial infections are difficult to treat.So it is of great significance to develop effective strategies to resist bacterial biofilms.Although antibiotics are important clinical tools for the treatment of bacterial infections,their therapeutic efficacy is often unsatisfactory when targeting bacterial biofilm-associated diseases.In this study,exopolysaccharides(EPS)from Escherichia coli(E.coli)were extracted and purified.It was demonstrated that the obtained E.coli EPS had the ability to inhibit methicillin-resistant Staphylococcus aureus(MRSA)biofilm formation and disperse a mature biofilm.To improve the anti-biofilm effect of vancomycin(VAN),E.coli EPS was used in combination with VAN.The combination increased the inhibition rate of MRSA biofilm and increased the dispersion rate of mature biofilm from 10%to 80%.When combined with E.coli EPS,the number of bacterial colonies within the MRSA biofilm remarkably decreased by 88%,resulting in a significant improvement over the use of VAN alone at an equivalent concentration.Meanwhile,E.coli EPS could down-regulate the expression of MRSA biofilm-related genes.E.coli EPS showed good anti-biofilm effect,and E.coli EPS/VAN combination could provided a potential strategy for treatment of MRSA biofilm infections.

In recent years,the market share of food and medicine homology substances has continued to grow,and various types of contamination issues have become the focus of attention both inside and outside the industry.The contamination not only affects the original medicinal quality,but also leads to the accumulation of toxic substances in the human body,causing acute and chronic severe hazards such as vomiting,poisoning and cancer.Therefore,the development of biosensors that can conveniently,accurately and sensitively detect various pollutants in food and medicine homology substances has become a research hotspot.Aptasensors based on metal-organic frameworks(MOFs)with advantages such as strong specificity,rapid response and simple operation,have been widely used in detection of various pollutants.This review focused on the research progress of aptasensors based on MOFs for detection of food and medicine homology contamination in the past few years,and provided a detailed comparison and analysis for detection of chemical pollutants(such as pesticide residues,heavy metal residues,mycotoxins,etc.)and microbial contamination in food and medicine homology substances.Besides,the development trend and possible challenges of MOFs aptasensors in detection of food and medicine homology substances in the future were discussed,which was anticipated to provide a reference for the development of new MOFs aptasensors.

Objective To investigate the correlation between serum levels of long non-coding RNA(Ln-cRNA)-prostate androgen regulated transcript 1(PART1),LncRNA-nucleolar ribonucleic acid host gene 14(SNHG14)and disease stage,cognitive impairment and motor function in patients with Parkinson's disease(PD).Methods A total of 100 PD patients(PD group)who admitted to the Department of Neurology in the hospital from January 2021 to December 2023 and 100 healthy subjects(control group)who underwent the physical examination during the same period of time were selected.According to Hoehn-Yahr staging,PD pa-tients were divided into early stage group(grade 1.0-2.5,20 cases),middle stage group(grade 3.0,48 ca-ses)and late stage group(grade 4.0-5.0,32 cases).According to the Montreal Cognitive Assessment(Mo-CA)score,the patients were divided into normal cognitive group(MoCA score≥26 points,33 cases),PD-mild cognitive impairment group(MoCA score 21-＜26 points,46 cases)and PD dementia group(MoCA score＜21 points,21 cases).According to the Unified Parkinson's Disease Rating Scale(UPDRS)-Ⅲ score,the pa-tients were divided into mild dyskinesia group(0-15 points,29 cases),moderate dyskinesia group(＞15-40 points,46 cases)and severe dyskinesia group(＞40-56 points,25 cases).Real-time fluorescence quantitative PCR was used to detect serum LncRNA-PART1 and LncRNA-SNHG14 levels.Spearman method was used to analyze the correlation between serum LncRNA-PART1,LncRNA-SNHG14 levels and Hoehn-Yahr staging,MoCA score and UPDRS-Ⅲ score in PD patients.Results The level of serum LncRNA-PART1 in PD group was lower than that in control group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in control group(P＜0.05).The serum levels of LncRNA-PART1 in the middle stage group and late stage groups were lower than those in the early stage group(P＜0.05),and the levels of LncRNA-SNHG14 were higher than those in the early stage group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the late stage group was lower than that in the middle stage group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the middle stage group(P＜0.05).The serum LncRNA-PART1 levels in the PD-mild cognitive impairment group and PD dementia group were lower than those in the normal cognitive group(P＜0.05),while the LncRNA-SNHG14 levels were higher than those in the normal cognitive group(P＜0.05).Additionally,the serum LncRNA-PART1 level in the PD dementia group was lower than that in the PD-mild cognitive impairment(P＜0.05),while the LncRNA-SNHG14 level was higher than that in the PD-mild cog-nitive impairment group(P＜0.05).The serum levels of LncRNA-PART1 in the moderate dyskinesia group and severe dyskinesia group were lower than those in the mild dyskinesia group(P＜0.05),and the levels ofLncRNA-SNHG14 were higher than that in the mild dyskinesia group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the severe dyskinesia group was lower than that in the moderate dyskinesia group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the moderate dyskinesia group(P＜0.05).Spearman method results showed that serum LncRNA-PART1 level was negatively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and positively correlated with MoCA score(P＜0.05).The level of serum LncRNA-SNHG14 was positively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and negatively correlated with MoCA score(P＜0.05).Conclusion The level of ser-um LncRNA-PART1 in PD patients is decreased,and the level of LncRNA-SNHG14 is increased,both of them are related to the disease stage,cognitive impairment and motor function of PD patients,which may be-come evaluation indicators for PD progression.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.