OBJECTIVE: To investigate the prenatal manifestation and genetic basis for two fetuses suspected for Osteocraniostenosis (OCS). METHODS: Two fetuses undergoing invasive prenatal diagnosis at Cangzhou People's Hospital in April and August 2021 for short long bones and abnormal skull morphology were selected as the study subjects. Clinical data were collected and analyzed. Genomic DNA was extracted from amniotic fluid and peripheral blood samples of the two couples. Candidate variants were validated by Sanger sequencing. Literature was retrieved from CNKI, Wanfang Data Knowledge Service Platform and PubMed using keywords including "FAM111A gene", "gracile bone dysplasia", "FAM111A" and "osteocraniostenosis" from January 1, 2000 to June 30, 2025. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: K2020-049). RESULTS: Fetus 1 was found to have short limbs, abnormal skull morphology and shallow cerebral sulci. Fetus 2 showed short limbs, irregular skull halo, prominent forehead and bilateral frontal narrowing. Trio-WES revealed that fetus 1 has carried a heterozygous missense variant c.1582G>C (p.Asp528His) in exon 4 of the FAM111A gene, which was unreported previously. Fetus 2 has harbored a heterozygous in-frame deletion c.1020_1022delTTC (p.Ser343del) in exon 6 of the FAM111A gene, which has been recorded as likely pathogenic by the ClinVar and HGMD databases. Sanger sequencing confirmed that the parents of both fetuses were wild-type for the variant sites. A total of 9 previously reported patients with FAM111A-related gracile bone dysplasia/OCS from 4 publications were retrieved. The main clinical features included intrauterine growth restriction, hypomineralized skull, gracile long bones with narrow medullary cavities and characteristic facial anomalies, which were in large in keeping with the prenatal features of the two fetuses. CONCLUSION Both fetuses were diagnosed with FAM111A-related OCS based on the characteristic prenatal findings and identification of the FAM111A variants. Above finding expanded the phenotypic spectrum of FAM111A-associated disorders and provided clues for the prenatal diagnosis and genetic counseling.
Humans ; Female ; Pregnancy ; Prenatal Diagnosis ; Phenotype ; Fetus ; Male ; Bone Diseases, Developmental/genetics* ; Adult

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.

Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Objective To optimize the animal-free fermentation medium and fermentation conditions of pneumococcus, and make it suitable for fermentation production.MethodsThe orthogonal method was used to optimize the carbon source(glucose)(12. 5, 18. 75, 25 g/L), nitrogen source(soybean peptone)(30, 40, 50 g/L) and uracil(10, 20, 30 mg/L) concentrations of fermentation medium for type 1, 3, 5, 9N and 33F pneumococci, as well as fermentation culture conditions such as strain concentration(A_(694))(0. 2, 0. 4, 0. 6), fermentation temperature(35, 36, 37 ℃) and pH(6. 8, 7. 2, 7. 6).ResultsThe optimal fermentation medium compositions for pneumococcus were as follows: for type 1, soybean peptone at 50 g/L, initial glucose concentration at 18. 75 g/L, and uracil at 30 mg/L; the optimal fermentation conditions were A_(694)at 0. 6, temperature at 35 ℃,and pH at 7. 6. For type 3, the optimal medium consisted of soybean peptone at 30 g/L, initial glucose concentration at 12. 5 g/L,and uracil at 10 mg/L; the optimal fermentation conditions were A_(694)at 0. 6, temperature at 35 ℃, and pH at 7. 2. For type 5,the optimal medium comprised soybean peptone at 50 g/L, initial glucose concentration at 12. 5 g/L, and uracil at 20 mg/L;the optimal conditions were A_(694)at 0. 6, temperature at 36 ℃, and pH at 6. 8. For type 9N, the optimal medium consisted of soybean peptone at 50 g/L, initial glucose concentration at 18. 75 g/L, and uracil at 10 mg/L; the optimal conditions were A_(694)at 0. 6, temperature at 36 ℃, and pH at 7. 2. For type 33F, the optimal medium comprised soybean peptone at 50 g/L, initial glucose concentration at 12. 5 g/L, and uracil at 30 mg/L; the optimal conditions were A_(694)at 0. 4, temperature at 37 ℃, and pH at 6. 8.ConclusionThe optimized fermentation medium and fermentation conditions can be applied to the research and production of 24-valent pneumococcal polysaccharide vaccine.

ObjectiveTo investigate the pharmacological effects of modified Xiexintang ointment on anti-infection and promotion of wound healing in mice with deep second-degree scalds， as well as its underlying mechanisms. MethodsA mouse model of deep second-degree scald was established and mice were randomly divided into six groups： blank group， model group， positive control group （Jingwanhong ointment， 0.1 g·cm^-2）， low-， medium-， and high-dose modified Xiexintang ointment group （0.05， 0.1， and 0.2 g·cm^-2）， with 10 mice in each group. Treatment was administered for 16 days. Wound recovery was recorded by photography， and the wound healing rate was calculated. Hematoxylin-eosin （HE） staining was used to observe histopathological changes in the scalded skin tissues. The levels of inflammatory cytokines， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α）， were measured by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry was used to evaluate the expression levels of vascular endothelial growth factor （VEGF） and cluster of differentiation 31 （CD31） in wound tissues. Western blot analysis was performed to determine the protein expression levels of nerve growth factor （NGF）， its high-affinity receptor tropomyosin receptor kinase A （TrkA）， and its low-affinity receptor nerve growth factor receptor （NGFR）. ResultsCompared with the blank group， the burn site in the model group showed swelling and whitening on the day of modeling， followed by hardening and scab formation on the next day. HE staining on day 2 revealed dermal tissue damage， swelling and degeneration of collagen fibers with homogeneous eosinophilic staining， partial destruction of hair follicles and sebaceous glands， and inflammatory cell infiltration in the dermis， indicating successful model establishment. Compared with the model group， from day 8 of treatment， the low-， medium-， and high-dose groups of modified Xiexintang ointment significantly increased the wound healing rate （P<0.01）. Compared with the model group， all dose groups significantly promoted thickening of the newly formed epidermis， reduced hemorrhage， decreased inflammatory cell infiltration， and increased neovascularization. Compared with the model group， all dose groups significantly reduced the levels of pro-inflammatory cytokines IL-1β， IL-6， and TNF-α in wound tissues （P<0.01）. Meanwhile， the expression levels of angiogenesis-related proteins VEGF and CD31 in wound tissues were significantly increased in all dose groups （P<0.01）. Compared with the model group， the protein expression levels of NGF， NGFR， and TrkA were increased in the medium-dose group （P<0.05， P<0.01）. With increasing dosage， the high-dose group showed a more pronounced increase in NGF， NGFR， and TrkA expression compared with the model group （P<0.01）. ConclusionModified Xiexintang ointment exerts anti-infective and wound-healing effects on skin wounds in mice with deep second-degree scalds. The underlying mechanisms may be related to the regulation of VEGF， CD31， NGF， TrkA， and NGFR protein expression， thereby reducing inflammation and promoting angiogenesis and nerve regeneration at the wound site.

OBJECTIVE: To carry out genetic testing on two fetuses with prenatal ultrasound finding of polydactyly and renal abnormalities to determine the underlying causes. METHODS: Two fetuses with structural abnormalities detected by prenatal ultrasound at Cangzhou People's Hospital in 2021 were selected as the study subjects. Genomic DNA was extracted from the muscle tissue of the abortus and peripheral blood samples from both parents. Whole-exome sequencing (WES) was conducted on the trio to detect the genetic variants. Quantitative PCR was used to validate the exonic deletions. This study has been approved by the Ethics Committee of Cangzhou People's Hospital (Ethics No.K2020-049). RESULTS: Prenatal ultrasound revealed postaxial polydactylies of fingers and toes and slightly enlarged kidneys with increased echogenicity in fetus 1, along with polydactyly of both hands, enlarged kidneys, and enhanced echogenicity of renal parenchyma in fetus 2. Trio-WES analysis revealed that fetus 1 has harbored a pathogenic c.1339G>A variant of the BBS1 gene, along with a heterozygous 426 bp deletion in the 11q13.2 region, which was unreported previously. The deletion has involved exons 10 and 11 of the BBS1 gene. The two variants were inherited from its mother and father, respectively. Fetus 2 was found to harbor a pathogenic c.539G>A variant and a likely pathogenic c.49G>A variant of the BBS10 gene, which were inherited from its mother and father, respectively. The c.49G>A variant has not been documented in databases and the literature. CONCLUSION Two rare fetuses with Bardet-Biedl syndrome have been diagnosed. Above finding has expanded the mutational spectrum of this syndrome and has important implications for genetic counseling for the affected families.
Humans ; Bardet-Biedl Syndrome/diagnostic imaging* ; Female ; Pregnancy ; Fetus/abnormalities* ; Ultrasonography, Prenatal ; Phenotype ; Polydactyly/diagnostic imaging* ; Exome Sequencing ; Adult ; Genetic Testing ; Male ; Prenatal Diagnosis ; Group II Chaperonins/genetics* ; Microtubule-Associated Proteins

Objective To investigate the medication law of Professor Wang Xuefeng in the treatment of transient tic disorders in children using data mining techniques;To clarify clinical thoughts and academic experience in the treatment of this disease.Methods The outpatient medical records of Professor Wang Xuefeng treated children with transient tic disorder in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from September 2021 to September 2024 were collected,and the prescriptions for patients'first visit were input after screening and sorting.Excel 2019 was used to establish the database.SPSS Modeler 18.0 was used to analyze the association rules of high-frequency drugs.SPSS Statistics 27.0 was used for clustering analysis.Gephi 0.10.1 was used for complex network analysis,and medication law was summarized.Results A total of 223 TCM prescriptions meeting the standard were included,involving 116 kinds of Chinese materia medica,with a total frequency of 3 668,and 30 high-frequency drugs were screened.The properties were mainly cold,neutral,and warm and the tastes were mainly pungent,bitter and sweet.The meridians were mainly liver,lung and heart meridians.The efficacy was mainly for suppressing hyperactive liver for calming endogenous wind,relieving surface and clearing heat;the results of association rules analysis showed that the drug combination with the highest correlation was Paeoniae Radix alba-Glycyrrhizae Radix et Rhizoma Praeparata cum Melle-Acori Tatarinowii Rhizoma;the high-frequency drugs were grouped into 9 categories by clustering analysis;a core drug combination consisting of 10 kinds of highly correlated Chinese materia medica was obtained by complex network analysis.Conclusion Professor Wang Xuefeng believes that transient tic disorders is mainly in the lung and liver,the etiology is due to the wind and phlegm,the pathogenesis is the external pathogens invading the lung,the pathogenic qi is reluctant to leave,the five viscera are disharmonious,the producing phlegm and turbid,the internal and external connection,the wind phlegm consolidation,the flowing meridians,thus causing twitching.It is necessary to take into account the whole process of disease development,with clear medication,fewer tastes,refined prescription and special efficacy.

Objective To conduct a scoping review of studies related to gamified physical activity interventions for pediatric cancer patients,and to extract the gamification elements and application effects within physical activity intervention programs.Methods A computer-assisted search was conducted in CNKI,Wanfang Data,VIP Database,China Biology Medicine disc,Cochrane Library,PubMed,Embase,and Web of Science for studies on gamified physical activity interventions in pediatric cancer patients,with a search period from database inception to December 31,2023.The included literature was screened,summarized,and analyzed.Results A total of 18 articles were included,including 9 randomized controlled trials,4 quasi-experimental studies,and 5 mixed-method studies.The gamified intervention programs for physical activity in children with cancer integrated 7 gamification elements,including goal setting,capacity to overcome challenges,providing feedback on performance,reinforcement,progress monitoring,social connectivity,and fun and playfulness.The types of physical activity in the intervention programs included aerobic exercise,balance training,strength training,endurance training,etc.The intensity of the activities was mainly low to moderate;the duration was mostly 30～60 minutes per session;the intervention duration ranged from 5 weeks to 1 year.Numerous research findings indicate that gamified physical activity interventions for children with cancer can help improve physical function,quality of life,and fatigue levels.However,there is signi-ficant controversy regarding their impact on improving physical activity levels.Conclusion The gamified inter-vention for physical activity in children with cancer was safe and feasible.It is recommended that in the future,personalized and phased gamified intervention programs should be developed to evaluate the intervention effects.

OBJECTIVE To investigate the changes of isolation rates of multidrug-resistant organisms(MDROs)in Shaanxi Province from 2014 to 2023 so as to provide theoretical bases for prevention,control and surveillance of drug-resistant organisms.METHODS The data of MDROs that were detected by the networked units of Shaanxi Antimicrobial Resistance Surveillance System in 10 years from 2014 to 2023 were analyzed by WHONET 5.6 soft-ware and were compared with the national average levels.RESULTS The isolation rates of MDROs generally showed downward trends from 2014 to 2023(all P＜0.05).The isolation rate of methicillin-resistant Staphylo-coccus aureus(MRSA)dropped from 45.7％to 35.8％,and that of methicillin-resistant coagulase-negative Staph-ylococcus(MRCNS)decreased from 81.8％to 75.8％,higher than the national average levels.The isolation rate of vancomycin-resistant Enterococcus faecium(VREfm)dropped from 3.1％to 0.5％,and that of vancomycin-re-sistant Enterococcus faecalis(VRE fa)declined from 1.7％to 0,equal to or slightly lower than the national aver-age levels.Among the Streptococcus pneumoniae strains,the isolation rate of erythromycin-resistant S.pneumon-iae(ERSP)was higher than that of the penicillin-resistant S.pneumoniae(PRSP),the isolation rate of PRSP showed a downward trend(from 8.0％to 0.8％),while the isolation rate of ERSP rose slightly(from 96.2％to 98％),slightly higher than the national average levels.The isolation rate of carbapenem-resistant Escherichia coli(CR-ECO)showed a downward trend(from 2.3％to 1.0％),the isolation rate of carbapenem-resistant Klebsiella pneumoniae(CR-KPN)fluctuated and showed slightly rising trend(from 6.1％to 8.2％),slightly lower than the national average levels.The isolation rates of carbapenem-resistant Acinetobacter baumannii(CR-ABA)and carbapenem-resistant Pseudomonas aeruginosa(CR-PAE)strains showed downward trends(with CR-ABA de-creasing from 66.2％to 60.3％,CR-PAE declining from 32.6％to 19.7％),slightly higher than the national aver-age levels.CONCLUSIONS The isolation rates of the MDROs showed downward trends in Shaanxi Province from 2014 to 2023 except for ERSP and CRKP.The isolation rates of VRE and CRE are lower than the national average levels,while the isolation rates of other MDROs are slightly higher than the national average levels.