ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objectives:To investigate the association between the triglyceride-glucose(TyG)index and risk of non-alcoholic fatty liver disease(NAFLD)in young and middle-aged(<60 years)adults.Methods:From June 2006 to October 2007,47 675 employees of Kailuan Group with no liver disease were selected as the study objects.Based on the TyG index quartile,participants were divided into Q1 group(TyG index≤8.08,n=11 924),Q2 group(8.0836.46,n=11 919),the association between TyG index,cum-TyG and cumulative exposure time and the risk of NAFLD was analyzed.Results:The average age of the study population was(44.3±8.7)years,36 345 participants were males(76.23%).During a median follow-up period of 11.55(7.28,13.89)years,4 635(9.72%)participants developed new-onset NAFLD.After adjusting for confounders,cox regression analysis showed that compared with the Q1 group,the HR(95%CI)for NAFLD in the Q2 to Q4 groups were 1.328(1.191-1.480),1.591(1.430-1.770),and 2.106(1.861-2.384),respectively,Ptrend<0.001.Compared with the cum-Q1 group,the HR(95%CI)for NAFLD in the cum-Q2 to cum-Q4 groups were 1.571(1.426-1.730),2.123(1.935-2.330)and 2.593(2.367-2.840),respectively,Ptrend<0.001.Compared with the TyG index for 0 year,the HR(95%CI)of NAFLD for 2,4 and 6 years was 1.333(1.196-1.486),1.879(1.690-2.088)and 3.184(2.860-3.545),respectively,Ptrend<0.001.Conclusions:Increased TyG index is an independent risk factor for the new-onset NAFLD in young and middle-aged population.

This study was aimed at analyzing the biotypes and genetic diversity characteristics of five non-major Brucella species,to provide a scientific basis for understanding the species diversity of Brucella and strengthening pathogen monitoring and control.According to the biotypes(species,hosts,isolation locations,and time)and MLVA-16 genotypes(MLVA-16 lo-cus data,MLVA-11 genotypes)of five non-major pathogenic Brucella in the international MLVA database,we used Bionu-merics 8.0 software and PHYLOVIZ2.0 online software to analyze the geographical origin and genetic diversity characteristics of strains.A total of 227 strains were studied,including 121 Brucella ceti,47 B.pinnipedialis,37 Brucella ovis,11 B.mi-croti,and Brucella neotomae.The greatest host diversity was observed for B.ceti,followed by B.pinnipedialis and B.mi-croti.B.ceti was distributed in European and South American countries;B.pinnipedialiswas distributed in Europe;and B.microti.was distributed in the Czech Republic,Austria,and Hungary in Central Europe.B.ovis was widely distributed in Af-rica,Argentina,Australia,Brazil,Greece,the United States,Spain,and France.The MLVA-11 genotypes of different types of Brucella showed high polymorphism and large differences,thus suggesting that the strains have different geographical ori-gins.MST analysis indicated that the studied strains were divided into four branches(BCⅠ-Ⅳ),among which B.ceti was di-vided into two different branches(BC-Ⅰ and BC-Ⅱ),the strains of other types formed different branches(or sub-branches),and the strains of different types showed clear regional and dominant host characteristics.Genetic correlation analysis of strains of the Brucella genus revealed that non-major pathogenic Brucella had clear genetic,distribution,and host spectrum differ-ences with respect to four classical pathogenic Brucella species.Five non-major pathogenic Brucella strains presented unique genetic evolutionary patterns,geographical distributions,and host tropism characteristics,thereby providing new insight for understanding the biological and genetic diversity of those Brucella strains.

Apolipoprotein D(APOD)is a protein that is widely present in animal tissues and is in-volved in the reproductive regulation of the body.In order to investigate the expression regularity of APOD in bactrian camel epididymis and its regulation effect on sperm maturation,this study took the epididymis of bactrian camel during estrus and anestrus as materials,and first cloned the complete sequence of APOD coding sequence(CDS)region.The physicochemical properties of AP-OD were analyzed by ProParam,SOPMA,SWISS-MODEL and MEGA7.0 software.Meanwhile,the expression and distribution of APOD in epididymis were detected by qRT-PCR,Western blot and IHC.The cloning results showed that:the length of the CDS region of APOD gene was 624 bp,encoding 207 amino acids.The APOD sequence of Bactrian camel was highly conserved with the nucleotide and amino acid sequence of alpaca,and the homology of APOD sequence with elk was the lowest.The results of qRT-PCR showed that the mRNA levels of APOD in the head,body and tail of epididymis in estrus were significantly higher than those in estrus(P＜0.01).Western blot results showed that the APOD protein expression and mRNA expression trend was similar in the head and body of the epididymis during anestrus,but the APOD expression level in the tail of the epididymis during anestrus was opposite to the mRNA expression level(P＜0.05).The results of H&E and IHC showed that there were significant differences in epididymal tissue between estrus and anestrus.In addition,APOD showed positive reactions in epididymal epithelial cells,smooth muscle cells,sperm and connective tissue to varying degrees,suggesting that APOD may be in-volved in the maturation of sperm during estrus and anestrus,providing evidence for further explo-ring the regulatory mechanism of APOD's involvement in seasonal estrus.

Objectives:To investigate the correlation between resting heart rate(RHR)and atherosclerotic cardiovascular disease(ASCVD)and all-cause death in young and middle-aged people.Methods:A prospective cohort study was conducted enrolling 72 642 young and middle-aged participants(aged<60 years),who participated in the medical examination of the Kailuan Study from June 2006 to October 2007.According to the quartile of the RHR level,the participants were divided into Q1 group(<67 beats/min,n=14 381),Q2 group(67-70 beats/min,n=15 815),Q3 group(71-75 beats/min,n=15 876),Q4 group(76-80 beats/min,n=13 933)and Q5 group(>80 beats/min,n=12 637).Cox proportional hazard regression model was used to analyze the effect of RHR on ASCVD and all-cause death.The dose-response relationship between RHR and the risk of ASCVD and all-cause death was investigated using a restricted cubic spline regression model.Results:During a mean follow-up of(10.0±4.85)years,2 898 patients(3.99%)developed ASCVD.Multivariate Cox regression analysis showed that after adjusting for confounding factors,the risk of RHR and ASCVD in group Q5 increased by 20%compared with group Q1(HR=1.20,95%CI:1.06-1.35,P<0.05).There was no significant risk in groups Q2 to Q4 compared to Q1 group(all P>0.05).In addition,the risk of ASCVD increased by 4%for every 10 beats/min increase in RHR(HR=1.04,95%CI:1.01-1.07,P=0.009).During the follow-up period of(10.2±4.82)years,all-cause death occurred in 2 175 participants(2.99%).The results showed that compared with Q1 group,the risk of all-cause death in Q3 to Q5 groups increased by 33%(HR=1.33,95%CI:1.15-1.54,P<0.001),33%(HR=1.33,95%CI:1.14-1.54,P<0.001),and 78%(HR=1.78,95%CI:1.54-2.05,P<0.001)respectively,and there was no statistical significance between group Q2 and group Q1.The risk of all-cause death increased by 15%for every 10 beats/min increase in RHR(HR=1.15,95%CI:1.11-1.19,P<0.001).Restricted cubic spline analysis showed that RHR was linearly correlated with risk of ASCVD(Poverall=0.022,Pnon-linear=0.617),and the risk of ASCVD increased significantly with RHR>72 beats/min.RHR was linearly associated with the risk of all-cause death(Poverall<0.001,Pnon-linear=0.212),and the risk of all-cause death was significantly increased with RHR>72 betas/min.Conclusions:Higher RHR is associated with an increased risk of ASCVD and all-cause mortality in young and middle-aged individuals.

Objective:To explore the genotype and the clinical phenotype of SCN2A-related developmental delay in children. Methods:A case series study was adopted. Collect clinical data from 10 cases of children with SCN2A gene variants diagnosed with global developmental delay/intellectual disability who were admitted to the Children′s Hospital between July 2019 and March 2023. Summarize the clinical phenotype and genotype based on clinical data such as general information, clinical manifestations, imaging examinations, laboratory tests, genetic testing results, and comprehensive pediatric neuropsychological development assessment. Results:A total of 10 patients were recruited, including 7 males and 3 females, with an age range of 27 days to 5 years and 9 months. 9 patients underwent children′s neuropsychological and behavioral assessments, and the results were consistent with global developmental delay, including 2 mild cases, 4 moderate cases, and 3 severe cases. 3 cases had autism spectrum disorder, and 2 cases had epilepsy. 6 patients underwent complete head MRI examination, and 4 of them showed abnormalities, including delayed myelination, widening of the local extra brain space in the frontal lobe, and abnormal frontal lobe morphology. All 10 cases had point variants. Among them, 9 cases are de novo and 1 case is maternal inheritance. Out of 10 cases, there were 5 cases with copy number variations, but all of them were of unknown significance. Among the 10 variants, 8 have been reported and 2 have not been reported, namely c.4145A>T(p.N1382I) and c.4937T>A(p.I1646N). In this study, 4 out of 10 patients with SCN2A variants had variation sites located in the S4 segment of domain which constitute Nav1.2, the sodium ion channel encoded by SCN2A. The developmental quotient level was lower when the variation sites were located in the S4 segment of domain, and the difference was statistically significant ( t=-3.101, P=0.017), indicating that the severity of developmental delay may be related to the localization of amino acids corresponding to variant sites within the protein domain. Conclusion:SCN2A mutations are strongly associated with diverse neurodevelopmental disorders. In this study, the phenotypic spectrum of SCN2A variants encompassed epilepsy, global developmental delay, and autism spectrum disorder. Affected individuals exhibited early-onset developmental delays, predominantly moderate to severe in severity. Voltage-sensing domain dysfunction in sodium channels may constitute a critical pathomechanism underlying neurodevelopmental impairments. Further electrophysiological characterization and molecular mechanistic studies are warranted todelineate the genotype-phenotype correlations between specific variant loci and clinical severity.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.

Background Polystyrene microplastics (PS-MPs) attract widespread public attention due to their adverse effects on mammalian reproductive systems. However, it is currently unclear whether ferroptosis is related to testicular damage and decreased sperm quality in mice exposed to PS-MPs. Objective To clarify the reproductive damage in male mice exposed to PS-MPs and investigate the mechanism of ferroptotic effects. Methods Five-week-old male BALB/c mice were randomly divided into four experimental groups, including one control group and three PS-MPs groups at low dose (0.5 mg·kg⁻¹), medium dose (5 mg·kg⁻¹), and high dose (50 mg·kg⁻¹), respectively, with 6 mice in each group. The treatment was delivered by gavage for 35 consecutive days (one time per day). After the mice were neutralized, the wet weights of testis and epididymis were measured, and organ coefficients were then calculated. Sperm was counted by hematimetry, and sperm motility and adenosine triphosphate (ATP) level were evaluated using CCK-8 and CellTiter Glo ® Kit 2.0 Assay respectively. In addition, serum testosterone, follicle-stimulating hormone, and luteinizing hormone were determined using ELISA kit, total testicular iron content was measured using tissue iron kit, and pathological changes in testicular tissue were observed after hematoxylin-eosin (HE) staining. We also used glutathione (GSH), malondialdehyde (MDA), and superoxide dismutase (SOD) assays to examine their changes to better understand the physiological status of testicular tissue. Finally, the expression levels of ferroptosis-associated proteins glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11) were detected by Western blotting. Results Compared with the control group, the testicular index in the high dose group decreased, and the epididymal index decreased in all dose groups (P<0.05). The results of sperm quality analysis showed that the sperm count in each dose group was lower than that of the control group; the sperm motility decreased, sperm malformation rate increased, and ATP level in sperm decreased in the medium and high dose groups. The results of HE staining showed that the spermatogenic epithelium was disordered and the arrangement of spermatogenic cells were loose in the low dose group, the spermatogenic gap was enlarged in the middle dose group, and the cells in the high dose group were vacuolated and even azoospermic. The results of serum sex hormone levels showed that the serum testosterone levels decreased in each dose group, the serum follicle-stimulating hormone levels decreased in the medium and high dose groups, and the serum luteinizing hormone levels decreased in the high dose group (P<0.05). The iron content in the testicular tissue homogenate of the high dose group increased (P<0.05). The levels of GSH and SOD in the homogenate of testicular tissue decreased in the medium and high dose groups, while the levels of MDA increased (P<0.05). The results of Western blotting showed that the protein expression level of GPX4 in the testis in the high dose group was lower than that in the control group. The protein expression levels of SLC7A11 in the medium and high dose groups were lower than that in the control group. The results of correlation analysis showed that the expression level of GPX4 was positively correlated with sperm count, and negatively correlated with MDA level (P<0.05). SLC7A11 expression level was positively correlated with sperm count, and negatively correlated with sperm malformation rate and MDA level (P<0.05). Conclusion PS-MPs exposure leads to decreased sperm quality, testicular damage, and decreased serum sex hormone levels in male mice, and its mechanism of action may involve ferroptosis.

Abstract To analyzes the characteristics, problems and enlightenment of physical activity observation tools, so as to provide reference for researchers to quickly and accurately choose appropriate observation tools to evaluate children s and adolescents physical activity. Literature search is conducted in eight databases of Chinese and English, including CNKI, Wanfang, VIP, Web of Science, PubMed, Medline, ERIC, and SPORTDiscus. Ultimately, eight observation tools for assessing physical activity in children and adolescents are included. Through summarization and comparison, it is found that the applications of those tools cover multiple age groups, the observation indicators cover multiple dimensions for each with varying emphases, and the applicable contexts vary in their specific background information, and recording methods tend to be quantitative. However, several issues remain to be addressed in practical applications. First, the observation indicators need to be supplemented and improved; second, physical activity in community environments and academic classrooms requires further attention; third, physical activity intensity needs to be scientifically evaluated; fourth, observation and recording methods need to be integrated and innovated; fifth, the number of observation subjects needs to be expanded. Future research could focus on developing observation tools tailored to the characteristics of Chinese children and adolescents, while drawing on foreign observation tools to comprehensively assess physical activity among children and adolescents.