BACKGROUND:Patients with Alzheimer's disease have severe brain energy disorders.In recent years,brain energy rescue strategies based on ketone body intervention have attracted more and more attention in the treatment of Alzheimer's disease.OBJECTIVE:To investigate whether β-hydroxybutyric acid can improve energy dysfunction by improving mitochondrial bioenergy function in HT22 cells of mouse hippocampal neurons induced by amyloid-β protein 1-42 (Aβ1-42).METHODS:HT22 cells were divided into four groups:Control,β-hydroxybutyric acid,Aβ1-42,Aβ1-42+β-hydroxybutyric acid.Related detection kits were respectively used to detect HT22 cell survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,mitochondrial membrane potential,and reactive oxygen species levels.RESULTS AND CONCLUSION:Compared with the control group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly decreased (P<0.05),and the level of reactive oxygen species was significantly increased (P<0.05) in the Aβ1-42 group.Compared with the Aβ1-42 group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly increased (P<0.05),and the reactive oxygen species level was significantly decreased (P<0.05) in the Aβ1-42+β-hydroxybutyric acid group.These results showed that β-hydroxybutyric acid improved mitochondrial bioenergetic function and ultimately improved Aβ1-42-induced energy impairment and survival rate in HT22 cells.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

BACKGROUND:Patients with Alzheimer's disease have severe brain energy disorders.In recent years,brain energy rescue strategies based on ketone body intervention have attracted more and more attention in the treatment of Alzheimer's disease.OBJECTIVE:To investigate whether β-hydroxybutyric acid can improve energy dysfunction by improving mitochondrial bioenergy function in HT22 cells of mouse hippocampal neurons induced by amyloid-β protein 1-42 (Aβ1-42).METHODS:HT22 cells were divided into four groups:Control,β-hydroxybutyric acid,Aβ1-42,Aβ1-42+β-hydroxybutyric acid.Related detection kits were respectively used to detect HT22 cell survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,mitochondrial membrane potential,and reactive oxygen species levels.RESULTS AND CONCLUSION:Compared with the control group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly decreased (P<0.05),and the level of reactive oxygen species was significantly increased (P<0.05) in the Aβ1-42 group.Compared with the Aβ1-42 group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly increased (P<0.05),and the reactive oxygen species level was significantly decreased (P<0.05) in the Aβ1-42+β-hydroxybutyric acid group.These results showed that β-hydroxybutyric acid improved mitochondrial bioenergetic function and ultimately improved Aβ1-42-induced energy impairment and survival rate in HT22 cells.

Objective To investigate the expression level of serum ubiquitin-conjugating enzyme 2C(UBE2C)and tripartite motif-containing protein 27(TRIM27)in patients with endometrial cancer(EC)and their correlation with pathological parameters.Methods A total of 96 EC patients from March 2020 to March 2023 were selected as EC group;65 patients with endometrial atypical hyperplasia(EAH)as EAH group,and 80 healthy subjects as the control group.Enzyme linked immunosorbent assay was applied to analyze the expression level of serum UBE2C and TRIM27.The relationship between serum UBE2C,TRIM27,and pathological data was analyzed;receiver operating characteristic was applied to evaluate the predictive value of serum UBE2C and TRIM27 level for EC.Results The level of serum UBE2C and TRIM27 of EC patients was obviously higher than that in healthy subjects(P<0.05),and was correlated with tumor diameter,tumor differentiation,lymph node metastasis,FIGO stage,muscle layer invasion depth,cervical involvement,estrogen receptor expression,and progestogen receptor expression(P<0.05).There was positive correlation between serum UBE2C and TRIM27(r=0.475,P<0.001);and the level of serum UBE2C and TRIM27 was positively correlated with tumor diameter,lymph node metastasis,FIGO stage,and depth of musclular invasion,but negatively with tumor differentiation,estrogen receptor expression,and progestogen receptor expression(P<0.05).The combination of UBE2C and TRIM27 had obviously higher AUC in evaluating EC than single detection(ZUBE2C-combination=3.406,P<0.001,ZTRIM27-combination=3.285,P=0.001).Conclusion The expression level of UBE2C and TRIM27 in serum of EC patients is up-regulated,which is closely related to pathological parameters.The level of serum UBE2C and TRIM27 can provide reference for early diagnosis of EC.

BACKGROUND:Studies have found that glucagon-like peptide-1 and its analogues have a significant neuroprotective effect,and some drugs have been applied to the clinical stage Ⅲ study of Alzheimer's disease.However,the mechanism of its neuroprotective effect is still unclear,which needs to be further explored and clarified. OBJECTIVE:To screen out the genes related to the pathogenesis of Alzheimer's disease and the related targets of semaglutide for the treatment of Alzheimer's disease based on bioinformatics and network pharmacology analyses,to identify the potential target genes by comprehensive analysis of the two and to verify them at the cellular level. METHODS:Using DisGeNET database,differentially expressed genes between Alzheimer's disease patients and healthy population were screened out.The chemical structure formula and two-dimensional structure diagram of semaglutide were obtained using PubChem online database.GO/KEGG enrichment analysis was performed using DAVID online database.A protein-protein interaction network was constructed by using the STRING database.The HPA database was used to determine the distribution characteristics of the target proteins in various human tissues.Finally,western blot was used to detect relevant protein expression in HT22 cells after semaglutide intervention. RESULTS AND CONCLUSION:With the dataset in DisGeNET database,3 374 differentially expressed genes between Alzheimer's disease patients and healthy people were obtained,and meanwhile,101 target genes of semaglutide potential drugs were obtained.There were 23 intersection genes between them.Ten key genes were identified based on the protein-protein interaction network,which were silent information regulator 1(SIRT1),CASP9,CCND1,CASP1,KEAP1,DLG4,CASP4,GRB2,GRIA1,and EDNRA.The results of GO gene functional annotation analysis of key genes showed that the positive regulatory activity of cysteine endopeptidase,the positive regulation of proteolysis,and the positive regulation of cysteine endopeptidase involved the cytoplasmic part of the apoptotic activity process;AMPA glutamate receptor complex,inflammatory complex,CARD domain binding,cysteine endopeptidase activity,and cysteine endopeptidase activity were involved in the apoptotic process.The results of KEGG signaling pathway analysis indicated that colorectal cancer,non-small cell carcinoma,and endometrial carcinoma were related to immune infiltration,inflammation and autophagic apoptosis.In addition,according to the association ranking of key genes and their distribution in different tissues of HPA online database,SIRT1 was identified as the most significant differential gene.The expression level of SIRT1 protein was significantly down-regulated in HT22 cells after β-amyloid protein 1-42 treatment,but it could be significantly increased after being treated with semaglutide.To conclude,SIRT1 may be a target gene for semaglutide in the treatment of Alzheimer's disease.

Objective:To investigate the influencing factors for total number, total volume, and total iron burden of cerebral microbleeds (CMBs) and the relationship between CMBs with cognitive impairment in end-stage renal disease (ESRD) using semi-automatic quantitative susceptibility mapping (QSM).Methods:The study was a cross-sectional study. Clinical and imaging data of 46 ESRD patients with≥1 CMBs who attended Tianjin First Central Hospital from November 2018 to August 2022 were retrospectively analyzed. There were 26 males and 20 females, aged 42-75 years. All patients underwent susceptibility-weighted imaging (SWI) scanning, then SWI data was post-processed to obtain QSM. The semi-automatic dynamic programming algorithm was used to get the volume and mean susceptibility value of each CMB by sketching the boundary of CMBs. The CMBs iron load total volume were calculated. Stepwise linear regression analysis was used to explore independent influencing factors for the number, total volume, and total iron burden of CMBs in ESRD patients. Partial correlation analysis was used to explore the relationship between CMBs and cognitive impairment with the other signs of cerebral small vessel diseases as covariates.Results:In patients with ESRD, CMBs were located in the frontal lobe in 19 cases, parietal lobe in 9 cases, temporal lobe in 19 cases, occipital lobe in 14 cases, basal ganglia in 27 cases, dorsal thalamus in 15 cases, centrum semiovale in 14 cases, cerebellum in 14 cases, and brainstem in 13 cases. C-reactive protein levels (95% CI 101.81-157.85, r=0.96, P=0.001) and creatinine levels (95% CI 5.32-29.61, r=0.71, P=0.010) were influencing factors for the total iron burden of CMBs. C-reactive protein levels (95% CI 0.72-1.15, r=0.99, P=0.001) and creatinine levels (95% CI 0.03-0.22, r=0.89, P=0.014) were influencing factors for the total volume of CMBs. C-reactive protein levels (95% CI 0.10-0.12, r=0.96, P=0.001) and alkaline phosphatase levels (95% CI 0.16-0.38, r=0.59, P=0.001) were influencing factors for the number of CMBs. The total volume ( r=-0.61, P=0.009) and total iron burden ( r=-0.71, P=0.002) of CMBs in the frontal lobe were negatively correlated with cognitive function. However, although the number of CMBs in the frontal lobe was negatively correlated with cognitive function, the statistics analysis was insignificant ( r=-0.53, P=0.063). Conclusions:C-reactive protein and creatinine are influencing factors for CMBs′ total volume and total iron burden; C-reactive protein levels and alkaline phosphatase are influencing factors for the number of CMBs. The total iron burden and total volume of CMBs in the frontal lobe may be the biomarkers of cognitive impairment in patients with end-stage renal disease.

OBJECTIVE To develop a method for simultaneous content determination of menthone, menthol, 2-methoxy-4-vinylphenol, 3-butenyl phthalide, atractyline, ligustilide in Honghua Xiaoyao tablets. METHODS The quantitative analysis was carried out on a capillary of HP-5(30 m×250 μm, 0.25 μm) column combined with an oven temperature program; inlet port temperature 250 ℃; detector temperature 280 ℃, split sampling at a split ratio 10∶1. RESULTS The 6 components were completely separated and could be well separated from other components; menthone, menthol, 2-methoxy-4-vinylphenol, 3-butenyl phthalide, atractyline, ligustilide showed a good linear relationship with the chromatographic peak area within the range of 1.37-87.38, 13.67-874.55, 2.05-65.49, 3.35-107.20, 3.49-111.60, 6.95-444.60 μg·mL-1(r≥0.999 0). The average recovery was 97.63%(RSD=3.27%), 94.25%(RSD=1.80%), 97.54%(RSD=2.39%), 103.81%(RSD=1.75%), 94.30% (RSD=2.32%), 98.97%(RSD=2.36%)(n=6), respectively. And its content in 39 batches of Honghua Xiaoyao tablets were determined. CONCLUSION This method is easy to operate, accurate, reliable, and has good repeatability, can be used to supplement the insufficient quality control of Honghua Xiaoyao tablets.

Genetic Counseling ; United States

Clinical laboratory undergraduate program was switched from medicine to medical technology,the changes of personnel training program compel universities to adjust the curriculum system.Six domestic known as 211 universities who have laboratory and biology undergraduate programs were scrutinized and compared.Overall,the proportion of general courses covers 30％ of the credit hours in both clinical laboratory and biology programs.Ratio of these general education curriculums to professional core courses is as high as 1.90∶1 in clinical laboratory program.Also,there were very strong medical features and very weak medical technology characteristics in the basic course in clinical laboratory program.It suggested that the curriculum system nowadays cant conform to the new personnel training objective.A novel system from abroad should be adopted to optimize clinical laboratory program accord with the principles and concepts of wide caliber training model.