ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

ObjectiveTo observe the clinical efficacy of modified Yuejuwan in the treatment of thyroid cysts after microwave ablation. MethodsA total of 90 patients with thyroid cysts who met the inclusion criteria and treated in the First Affiliated Hospital of Hebei University of Chinese Medicine from September 2022 to December 2023 were randomly assigned to either the control group or the observation group， with 45 patients in each group. The control group received conventional postoperative drug treatment and was followed up regularly. The observation group was additionally administrated with modified Yuejuwan for one month and followed up regularly. The alterations in volume， thyroid function parameters ［thyroid-stimulating hormone （TSH）， free triiodothyronine （FT₃）， and free thyroxine （FT₄）］， quality of life scores， and clinical efficacy were monitored and compared between the two groups. Additionally， the safety profile was appraised. ResultsAfter treatment， both the observation group and the control group showed a reduction in cyst volume （P<0.05）， and the observation group exhibited a more significant reduction in cyst volume than the control group （P<0.05）. After treatment， both the observation group and the control group showed a decrease in TSH level and increases in FT₃ and FT₄ levels （P<0.05）， and the changes were more significant in the observation group （P<0.05）. In addition， both groups exhibited elevations in the quality of life scores （P<0.05）. Moreover， the observation group showed more increments in physiological， psychological， and social scores than the control group （P<0.05）. The total response rate of the observation group was higher than that of the control group （Z=-2.516， P<0.05）. The incidence of adverse reactions was similar between the two groups， with no statistically significant difference. ConclusionModified Yuejuwan is effective in the treatment of thyroid cysts after microwave ablation. It can promote the absorption of cysts， improve the thyroid function and quality of life， and has high safety.

ObjectiveTo observe the clinical efficacy of modified Yuejuwan in the treatment of thyroid cysts after microwave ablation. MethodsA total of 90 patients with thyroid cysts who met the inclusion criteria and treated in the First Affiliated Hospital of Hebei University of Chinese Medicine from September 2022 to December 2023 were randomly assigned to either the control group or the observation group， with 45 patients in each group. The control group received conventional postoperative drug treatment and was followed up regularly. The observation group was additionally administrated with modified Yuejuwan for one month and followed up regularly. The alterations in volume， thyroid function parameters ［thyroid-stimulating hormone （TSH）， free triiodothyronine （FT₃）， and free thyroxine （FT₄）］， quality of life scores， and clinical efficacy were monitored and compared between the two groups. Additionally， the safety profile was appraised. ResultsAfter treatment， both the observation group and the control group showed a reduction in cyst volume （P<0.05）， and the observation group exhibited a more significant reduction in cyst volume than the control group （P<0.05）. After treatment， both the observation group and the control group showed a decrease in TSH level and increases in FT₃ and FT₄ levels （P<0.05）， and the changes were more significant in the observation group （P<0.05）. In addition， both groups exhibited elevations in the quality of life scores （P<0.05）. Moreover， the observation group showed more increments in physiological， psychological， and social scores than the control group （P<0.05）. The total response rate of the observation group was higher than that of the control group （Z=-2.516， P<0.05）. The incidence of adverse reactions was similar between the two groups， with no statistically significant difference. ConclusionModified Yuejuwan is effective in the treatment of thyroid cysts after microwave ablation. It can promote the absorption of cysts， improve the thyroid function and quality of life， and has high safety.

Therapeutic drug monitoring （TDM） is the core approach for individualized precision medication in clinical practice. Based on pharmacokinetics, it quantitatively measures in vivo drug concentrations using modern analytical techniques, mainly applied to drugs with a narrow therapeutic window, significant adverse reactions, and large interindividual pharmacokinetic variability across multiple categories. TDM plays an irreplaceable role in optimizing therapeutic regimens, reducing drug toxicity, and enhancing rational clinical drug use. TDM-applicable drugs were systematically reviewed in this paper, focusing on the working principles, clinical applications, advantages and limitations of mainstream analytical techniques （immunoassay, liquid chromatography tandem mass spectrometry，LC-MS/MS） and emerging ones （surface plasmon resonance and biolayer interferometry）, which provided a valuable reference for the standardized clinical application of TDM, rational selection of analytical methods, and subsequent technological research and development.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective: To analyze the disease burden and trends of oral diseases among China’s elderly population (1990-2021) and provide evidence for developing targeted intervention strategies Methods : Using data from the Global Burden of Disease (GBD) 2021 study, we extracted prevalence, incidence, and disability-adjusted life years (DALYs) for oral conditions (permanent dental caries, edentulism, periodontal diseases, and other oral disorders) in individuals aged ≥60 years in China. Due to data limitations, other oral diseases only included DALYs and prevalence. Age-standardized rates (ASR)—including age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR), and age-standardized DALYs rate (ASDR)--were calculated. Trends were assessed via Joinpoint regression using average annual percentage change (AAPC), stratified by sex and age groups (60-64, 65-69, 70-74, 75-79, 80-84, 85-89, 90-94, 95+ years). Results: From 1990 to 2021, China’s elderly population exhibited distinct trends in oral disease burden. Overall oral diseases showed declining ASDR and ASPR, yet ASIR slightly increased. Permanent dental caries demonstrated significant rises across ASDR, ASIR, and ASPR. Edentulism showed declining ASDR and ASPR alongside stable ASIR. 95+ age group saw rising rates. Periodontal diseases remained largely stable in ASDR and ASPR but experienced a slight ASIR decline. Other oral disorders showed mild ASDR decline and stable ASPR. Notably, sex and age disparities persisted. Women consistently bore higher burdens for overall oral diseases, caries, edentulism, and other oral diseases but lower periodontal disease rates compared to men. 85-89, 90-95, 95+ age group faced rising DALYs and prevalence for overall oral diseases, while all other age groups demonstrated declining trends in both DALYs and prevalence; for permanent caries, the 60-64 age group showed the largest increases in DALY rate, incidence, and prevalence; edentulism demonstrated the most pronounced and sustained rises in DALY rate and prevalence in the 95+ group, while declining most rapidly in the 60-64 age group; for periodontal disease, both DALY rates and prevalence declined in the 90-94 and 95+ age groups, but increased across all measures (DALY rate, incidence, and prevalence) in the 70-74 and 75-79 age group; other oral conditions exhibited relatively stable burden distributions or minor changes, with no significant age-specific shifting trends observed. Conclusion From 1990 to 2021, China’s elderly oral disease burden declined overall, but caries surged, edentulism improved, periodontal diseases stabilized, and other oral diseases slightly declined. Prioritizing older women and the adults aged 85+ is critical to addressing evolving oral health needs.