Objective To compare effectiveness between the modified and traditional pressure-overload myocardial hypertrophy(POMH) model by abdominal aorta coarctation (AAC) method. Methods Totally 45 rats were divided into three groups(n = 15 per group), sham group, traditional group, and modified group. In the traditional group, the diameter ol the abdominal aorta was narrowed to 0. 70 mm through a midline incision for 4 weeks; in the modified group, the diameter of the abdominal aorta was narrowed above the left kidney to 0. 45 mm for 1 week, and then the narrowing was lifted postoperatively. The cardiac index, heart weight (HW) /body weight (BW) and left ventricular index, left ventricular weight (LVW)/BW were measured from the heart specimens, and the cross-sectional area of cardiac myocytes, myocardial collagen area, and myocardial collagen area Iraction were measured in the pathological sections by HE staining and Masson staining. Results Compared with the sham group, the differences in end-systolic interventricular septum thickness (IVSs), left ventricular end-systolic posterior wall thickness (LVPWs), HW/BW, LVW/BW, cardiomyocyte cross-sectional area, myocardial collagen area, myocardial collagen area fraction, and brain natriuretic peptide (BNP) expression levels were statistically significant (P<0. 05) in the modilied and traditional groups of rats. The differences in these indices were not statistically significant between the modified and traditional groups (P>0. 05). Conclusion The modified abdominal aortic constriction method used in this experiment is time-saving, stable, homogeneous and easy to replicate, and is a more ideal approach to establish a rat model of POMH.

Objective To investigate the detection rate,epidemiology and resistance mechanism of methicil-lin-resistant Staphylococcus aureus(MRSA)in a hospital in recent 5 years.Methods A total of 762 strains of non repetitive Staphylococcus aureus detected from 2016 to 2020 in a hospital were collected retrospectively.Methicillin-sensitive Staphylococcus aureus(MSSA)was 392 strains(MSSA group)and 370 strains caused by MRSA(MRSA group),and 95 strains of MRSA isolated in 2020 were further used for resistance mechanism.Staphylococcus aureus was identified and tested for drug sensitivity by Vitek 2 automatic microbial system.Molecular epidemiological typing was determined by multilocus sequence typing.The biofilm formation was performed by crystal violet staining.PCR amplification was used to detect drug resistance genes,virulence genes and biofilm related genes,and logistic regression analysis was used to investigate the independent risk factors of its occurrence.Results The detection rate of MRSA in past five years was 48.56％,mainly was from pus samples and secretion samples(38.38％,33.51％respectively).MRSA was found in the general sur-gery(18.65％)and otorhinolaryngology(12.70％).ST88 was the most common multilocus sequence typing(37.89％),and followed by ST951(24.21％).Moderate biofilm formation was the most common,accounting for 74.73％.Multivariate regression analysis showed that compared with MSSA group,hypoproteinemia,en-docrine system diseases,wound infection and history of antibiotic use within six months were the independent risk factors for infection in MRSA group.Compared with the control group,hospital transfer,wound infection and tumor were independent risk factors for infection in MRSA group(P＜0.05).Conclusion The detection rate of MRSA in a hospital is high,and the carrying rate of various drug-resistant genes is high.The hospital should pay attention to the prevalence of MRSA and related risk factors,so as to prevent it early.

Objective To establish a mouse model of type Ⅰ tricho-hepato-enteric syndrome(THES)induced by Ttc37 deficiency.Methods Ttc37 flox strain was established by site-specifically inserted loxP sites into Ttc37 gene via CRISPR/CAS9 technology.Ubiquitously expressed CAG-Cre was introduced for all-tissue removal of Ttc37 in Ttc37flox/flox;CAG-Cre mice.The knock-out effect was confirmed by fluorescence quantitative PCR and Western blot.Phenotypic evaluations were conducted in 8-week-old mice including hematoxylin-eosin staining of skin,spleen,liver,bladder,and gastrointestinal tract(GI),serum enzyme activity assay of aspartate aminotransferase(AST)and alanine aminotransferase(ALT),measurement of serum hemoglobin level,and ELISA for IgG and IgM level upon antigen immunization.Results Similar to type Ⅰ THES patients,Ttc37flox/flox;CAG-Cre mice exhibited impaired development of hair shaft,epidermis,B cell and eyes,while liver,GI,bladder and serum hemoglobin level seemed normal under unstressed condition.Conclusion A novel mouse model of typeⅠ THES was constructed successfully,which was applicable for pathological study.

Quadratus lumborum block(QLB)is a regional anesthesia technique that provides sen-sory and sympathetic nerves block of the unilateral trunk and lower limb by an injection of local anesthetic into the fascia space around the quadratus lumborum.At present,ultrasound-guided QLB is widely used in postoperative analgesia in abdominal and lower limb surgery with satisfied analgesia efficacy.This article will review the anatomical basis,mechanisms,puncture approaches,local anesthetic selection,clinical applica-tion and complications of QLB.

Background and purpose:Breast cancer is a major global public health problem.Bone is the most common site of distant metastasis of breast cancer,accounting for about 70%of all metastatic cases.Bone metastasis of breast cancer can cause a series of complications,including severe pain,pathological fracture,hypercalcemia,spinal cord compression,etc.,which bring great inconvenience to patients'physical activities and affect their quality of life.Metastatic recurrence is the leading cause of death in breast cancer patients.Therefore,there is an urgent need to build a diagnostic model of bone metastasis in breast cancer to identify patients with a high risk of bone metastasis.The aim of this study was to develop a predictive model based on machine learning to predict the probability of breast cancer developing bone metastasis.Methods:Data of breast cancer patients diagnosed between 2010 and 2015 were extracted from The Surveillance,Epidemiology,and End Results(SEER)database.The variables were screened by least absolute shrinkage and selection operator(LASSO)regression,univariate and multivariate logistic regression analysis,and statistically significant risk factors were included to build a prediction model.In this study,nine machine learning algorithms,including decision tree,elastic network,K-nearest neighbor,lightweight gradient elevator,logistic regression,neural network,random forest,support vector machine and limit gradient lifting,were used to adjust the model hyperparameters through random search and 5x cross-validation to build a breast cancer bone metastasis prediction model.The area under the receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the model,the optimal model was obtained,and the importance of variables was analyzed based on the optimal model.Finally,a network calculator for predicting the risk of bone metastasis of breast cancer was established using the optimal model.Results:The study included 10 106 patients with breast cancer,7 073 patients in the training set,and 3 033 patients in the validation set.We found that 4 494(63.5%)patients in the training set and 1 927(63.5%)patients in the validation set developed bone metastases,respectively.Race,pathologic grade,estrogen receptor(ER)status,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER2)status,N stage,lung metastasis,radiotherapy,chemotherapy and surgery were independent predictors of bone metastasis.The training set and verification set were used to verify the model,and the limit gradient lifting algorithm was superior to other machine learning algorithms by integrating the evaluation indexes such as the area under the ROC curve,calibration curve and decision curve.Finally,we used limit gradient algorithm to build network calculator for prediction of breast cancer bone metastases(https://bcbm.shinyapps.io/DynNomapp/).Conclusion:This study developed a predictive model based on machine learning to predict the probability of bone metastases in breast cancer patients,hoping to help clinicians make more rational treatment decisions.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

Objective:To investigate the value of serum free light chain(sFLC)and serum calcium ion in the diagnosis and prognosis of multiple myeloma(MM).Methods:Forty patients with MM treated in Henan Provincial People's Hospital from January 2018 to January 2022 were selected as the observation group,and 40 healthy volunteers were selected as the control group.The differences of sFLC-κ,sFLC-λ,sFLC-κ/λ,serum calcium ions,etc between the two groups were compared.Meanwhile,the differences of sFLC-κ,sFLC-λ,sFLC-κ/λ,serum calcium ions,etc in different international staging systems(ISS),chemotherapy efficacy and prognosis patients were analyzed.Results:The levels of sFLC-κ[(98.39±21.19)vs(12.01±4.45)mg/L],sFLC-λ[(210.20±45.54)vs(14.10±5.11)mg/L]and proportions of hypocalcemia(65％vs 0)in the observation group were significantly higher than those in the control group(P＜0.05),while sFLC-κ/λ ratio[(0.44±0.10)vs(0.87±0.12)]and serum calcium ions[(1.98±0.46)vs(2.42±0.40)mmol/L]were significantly lower than those in the control group(P＜0.05).The sFLC-κ,sFLC-λ,the proportion of hypocalcemia and the course of hypocalcemia in ISS stage Ⅲ patients in the observation group were significantly higher than those in stage Ⅰ and Ⅱ patients(P＜0.05),while sFLC-κ/λ ratio,and serum calcium ions were significantly lower than those in stage Ⅰ and Ⅱ patients(P＜0.05).The levels of sFLC-κ[(107.76±21.22)vs(94.67 ±20.11)mg/L],sFLC-λ[(245.54±41.12)vs(205.54±50.22)mg/L]of patients with hypocalcemia in the observation group was significantly higher than those without hypocalcemia(P＜0.05),while the sFLC-κ/λ ratio was significantly lower than those without hypocalcemia[(0.42±0.04)vs(0.47±0.06);P＜0.05].The levels of sFLC-κ[(107.29±20.14)vs(91.11±18.92)mg/L],sFLC-λ[(247.98±42.26)vs(179.29±39.32)mg/L]in patients with ineffective chemotherapy were significantly higher than those in patients with effective chemotherapy(P＜0.05),while the sFLC-κ/λ ratio was significantly lower than those in patients with effective chemotherapy[(0.43± 0.10)vs(0.50±0.09);P＜0.05)].The area under the ROC curve for sFLC-κ,sFLC-λ,sFLC-κ/λ predicting ineffective chemotherapy was 0.803,0.793 and 0.699 respectively,P＜0.05.There was no significant difference in sFLC-κ,sFLC-λ,sFLC-κ/λ ratio,serum calcium ion,hypocalcemia ratio and hypocalcemia course between survival and death patients(P＞0.05).Conclusion:sFLC and serum calcium are related to 1SS stage of MM patients.sFLC level has a certain value to predict the curative effect of chemotherapy in MM patients.However,the prognostic values of sFLC and serum calcium are not yet confirmed for MM patients.

The pathogenesis of Alzheimer's disease(AD)is complex and unclear.Existing drugs can only alleviate its symp-toms,and there is an urgent need to develop effective therapeutic drugs.As the representative drugs of tonic and enlightening medicine,ginseng and acorus calamus have pharmacological effects to improve memory,improve learning ability and reduce cognitive impairment,which are commonly used in Chinese med-icine for the treatment of dementia.The combination of ginseng and acorus calamus can further promote the active ingredients in-to brain to exert their medicinal effects,and delay the process of AD through anti-inflammatory,anti-oxidative stress,modulation of neuronal-synaptic plasticity and other multiple pathways,with multi-level,multi-system and multi-target action characteristics.This paper attempts to summarize the existing research results and lay the foundation for further exploring the synergistic mech-anism of action of ginseng-acorus calamus combination and the dose-effect relationship of the combination,so as to provide a sci-entific basis for the development of innovative Chinese medicines for the prevention and treatment of AD.

Adenosine triphosphate(ATP)production in cardio-myocytes in healthy heart depends primarily on the oxidative phosphorylation of fatty acids and,to a lesser extent,on the oxi-dation or glycolysis of glucose.Patients with heart failure devel-op severe disturbances in energy metabolism,including disturb-ances in substrate uptake and utilization,oxidative phosphoryla-tion,and ATP shuttling,resulting in inadequate cardiac energy supply.By intervening in energy metabolism pathways,cardiac efficiency can be increased,energy production deficits can be reduced,and cardiac function can be improved in patients with heart failure.We hence have reviewed and outlined the mecha-nisms and therapeutic implications of metabolic changes during heart failure.