ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

Background While A few studies have suggested associations between ambient temperature and cardiac autonomic function, the relationship between hourly temperature variations and heart rate variability (HRV) remains unclear. Objective To examine the acute effects and lag patterns of short-term ambient temperature exposure on HRV at an hourly temporal resolution during cold and warm seasons, and to further characterize the exposure-response relationships. Methods We conducted a longitudinal panel study involving 1047 eligible participants who ordered repeated 24 h ambulatory electrocardiogram monitoring at the First Affiliated Hospital of Xinjiang Medical University in Urumqi, Xinjiang Uygur Autonomous Region, China, between March 2020 and March 2022. Twelve HRV parameters were extracted, including standard deviation of all NN intervals (SDNN), standard deviation of the 5 min averages of NN intervals (SDANN), standard deviation of NN intervals index (SDNNIDX), root mean square of successive differences of adjacent NN intervals (rMSSD), triangle index (TI), percent of NN50 in the total number of NN intervals (pNN50), total power (TP), ultralow frequency (ULF), very low frequency (VLF), low frequency (LF), high frequency (HF), and ratio of low frequency to high frequency (LF/HF). Hourly meteorological data (mean temperature and relative humidity) were obtained from the nearest monitoring stations to participants' residences. Linear mixed effects models (LME) and generalized additive mixed effects models (GAMM) were employed to assess temperature-HRV associations and lag patterns during cold (from October to March next year) and warm (from April to September) seasons, with stratification by sex and age. Results A total of 1047 Urumqi residents who had repeated 24 h ambulatory electrocardiograms were included in this study. In both cold and warm seasons, the exposure-response relationship between ambient temperature and HRV showed an approximately linear negative correlation with no threshold effect; HRV parameters decreased as ambient temperature increased. The correlation between ambient temperature and HRV usually began at a lag of 6 h and disappeared around 24 h lag. The cold season induced a stronger effect on HRV decline, and for every 1 °C increase in ambient temperature during the cold season from lag 0 to 6 h, SDNN decreased by 0.72%, SDNNIDX decreased by 1.46%, TI decreased by 0.07%, SDANN decreased by 1.23%, rMSSD decreased by 1.00%, pNN50 decreased by 2.74%, TP decreased by 3.30%, ULF decreased by 3.74%, VLF decreased by 3.76%, LF decreased by 2.75%, HF decreased by 2.49%, and LF/HF decreased by 0.74%; for every 1 °C increase in ambient temperature during the warm season, SDNN decreased by 0.56%, SDNNIDX decreased by 1.08%, TI decreased by 0.29%, SDANN decreased by 0.56%, rMSSD decreased by 0.68%, pNN50 decreased by 2.11%, TP decreased by 2.64%, ULF decreased by 3.14%, VLF decreased by 2.74%, LF decreased by 1.85%, HF decreased by 1.68%, and LF/HF decreased by 0.47%. Conclusion Elevated ambient temperatures in Urumqi are significantly associated with decreased HRV in the residents, affecting cardiac autonomic function.

The high failure rates in clinical drug development based on animal models highlight the urgent need for more representative human models in biomedical research. In response to this demand, organoids and organ chips were integrated for greater physiological relevance and dynamic, controlled experimental conditions. This innovative platform-the organoids-on-a-chip technology-shows great promise in disease modeling, drug discovery, and personalized medicine, attracting interest from researchers, clinicians, regulatory authorities, and industry stakeholders. This review traces the evolution from organoids to organoids-on-a-chip, driven by the necessity for advanced biological models. We summarize the applications of organoids-on-a-chip in simulating physiological and pathological phenotypes and therapeutic evaluation of this technology. This section highlights how integrating technologies from organ chips, such as microfluidic systems, mechanical stimulation, and sensor integration, optimizes organoid cell types, spatial structure, and physiological functions, thereby expanding their biomedical applications. We conclude by addressing the current challenges in the development of organoids-on-a-chip and offering insights into the prospects. The advancement of organoids-on-a-chip is poised to enhance fidelity, standardization, and scalability. Furthermore, the integration of cutting-edge technologies and interdisciplinary collaborations will be crucial for the progression of organoids-on-a-chip technology.
Organoids/physiology* ; Humans ; Biomedical Research/methods* ; Lab-On-A-Chip Devices ; Animals ; Microphysiological Systems

Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

OBJECTIVES: To explore the mechanism of Circ-MYOCD back-splicing and its regulatory role in myocardial hypertrophy. METHODS: Sanger sequencing and RNase R assays were performed to verify the circularity and stability of Circ-MYOCD, whose subcellular distribution was determined by nuclear-cytoplasmic fractionation. Bioinformatics analysis and mass spectrometry from pull-down assays were conducted to predict the RNA-binding proteins (RBPs) interacting with Circ-MYOCD. In rat cardiomyocytes H9C2 cells, the effects of HNRNPH1 and HNRNPL knockdown and overexpression on Circ-MYOCD back-splicing were evaluated. In a H9C2 cell model of angiotensin II (Ang II)-induced myocardial hypertrophy, the expression of HNRNPH1 was detected, the effects of HNRNPH1 knockdown and overexpression on progression of myocardial hypertrophy were assessed, and the regulatory effect of HNRNPH1 on Circ-MYOCD back-splicing was analyzed. RESULTS: Sanger sequencing confirmed that the junction primers could amplify the correct Circ-MYOCD sequence. RNase R and nuclear-cytoplasmic fractionation assays showed that Circ-MYOCD was stable and predominantly localized in the cytoplasm. Bioinformatics analysis and mass spectrometry from the Circ-MYOCD pull-down assay identified HNRNPH1 and HNRNPL as the RBPs interacting with Circ-MYOCD. In H9C2 cells, HNRNPH1 knockdown significantly enhanced while its overexpression inhibited Circ-MYOCD back-splicing; HNRNPH1 overexpression obviously increased the expressions of myocardial hypertrophy markers ANP and BNP, while its knockdown produced the opposite effect. In Ang II-induced H9C2 cells, which exhibited a significant increase of HNRNPH1 expression and increased expressions of ANP and BNP, HNRNPH1 knockdown obviously increased Circ-MYOCD expression, decreased MYOCD expression and lowered both ANP and BNP expressions. CONCLUSIONS HNRNPH1 regulates Circ-MYOCD back-splicing to influence the progression of myocardial hypertrophy.
Animals ; Rats ; RNA, Circular/genetics* ; Cardiomegaly/metabolism* ; Myocytes, Cardiac/metabolism* ; Heterogeneous-Nuclear Ribonucleoprotein Group F-H/metabolism* ; Cell Line ; RNA Splicing ; Angiotensin II ; RNA-Binding Proteins

OBJECTIVE: To construct a longitudinal trajectory model of arterial oxygen tension (PaO₂) within 24 hours after cardiac arrest (CA). METHODS: A retrospective cohort study was conducted. CA patients admitted to the ICU from 2014 to 2015 were selected from the eICU Collaborative Research Database (eICU-CRD). Data about patients' demographic characteristics, history of comorbidities, laboratory test indicators within 24 hours of intensive care unit (ICU) admission [including all PaO₂ data and arterial carbon dioxide tension (PaCO₂)], vasopressor use, and clinical outcomes were extracted from the database. The primary outcome variable was all-cause in-hospital mortality. Group-based trajectory model (GBTM) were built based on the changes in PaO₂ within 24 hours of ICU admission, and patients were grouped according to their initial static PaO₂ values upon ICU admission. Multivariable adjusted Poisson regression analysis was used to compare the in-hospital mortality risk among patients in different PaO₂ dynamic trajectory groups. Sensitivity analyses were performed using multivariable logistic regression and multivariable adjusted Poisson regression without imputation of missing values. RESULTS: A total of 3 866 CA patients were included. Three GBTM trajectory groups were identified based on PaO₂ changes within 24 hours of ICU admission: Group-1 (low level first increased then decreased, 148 cases), Group-2 (sustained low level, 3 040 cases), and Group-3 (first high level then decreased, 678 cases). Significant differences were found among the three groups in age, body weight, maximum serum potassium, maximum PaCO₂, minimum hemoglobin (Hb), vasopressor use, total hospitalization time, ICU stay, and hospital mortality. After incorporating variables with significant differences into the multivariable adjusted Poisson regression model, results showed that compared to Group-2 patients, patients in Group-1 and Group-3 had an increased risk of all-cause in-hospital mortality [Group-1 adjusted relative risk (aRR) = 1.20, 95% confidence interval (95%CI) was 1.02-1.41; Group-3 aRR = 1.11, 95%CI was 1.01-1.24]. Based on initial static PaO₂ values at ICU admission, patients were divided into four groups: PaO₂ < 100 mmHg (1 mmHg = 0.133 kPa; 1 217 cases), PaO₂ 100-200 mmHg (569 cases), PaO₂ 201-300 mmHg (547 cases), and PaO₂ > 300 mmHg (1 082 cases). Multivariable adjusted Poisson regression analysis indicated a significant upward trend in aRR for the latter three groups compared to the PaO₂ < 100 mmHg group. Sensitivity analyses revealed that compared to Group-2, patients in Group-1 and Group-3 had a significantly increased risk of all-cause in-hospital mortality (both P < 0.05). CONCLUSIONS Within 24 hours after return of spontaneous circulation in CA patients, PaO₂ exhibits different dynamic trajectories, and patients with hyperoxia have an increased risk of in-hospital mortality.
Humans ; Retrospective Studies ; Hospital Mortality ; Heart Arrest/blood* ; Prognosis ; Oxygen/blood* ; Intensive Care Units ; Cardiopulmonary Resuscitation ; Male ; Female ; Middle Aged

Objective:To explore the efficacy of consolidation chemotherapy after radical radiotherapy and chemotherapy in stage Ⅲ-ⅣA esophageal squamous cell carcinoma (ESCC) patients in the real world.Methods:The clinical data of 139 patients with stage Ⅲ-ⅣA ESCC who underwent radical radiotherapy and chemotherapy from January 1, 2018 to December 31, 2022 in Hefei Cancer Hospital, Chinese Academy of Sciences were retrospectively analyzed. Patients were divided into a control group ( n=85) and a consolidation chemotherapy group ( n=54) based on whether they underwent consolidation chemotherapy after radical radiotherapy and chemotherapy. The objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) between the two groups were compared. The Kaplan-Meier method was used to draw survival curves and log-rank tests were conducted. The Cox proportional risk model was used for univariate and multivariate analysis. Results:The ORR of the control group and the consolidation chemotherapy group were 44.71% (38/85) and 66.67% (36/54), respectively, with a statistically significant difference ( χ2=5.54, P=0.018) ; the DCR were 70.59% (60/85) and 87.04% (47/54), respectively, with a statistically significant difference ( χ2=5.04, P=0.025). The median PFS of the two groups of patients were 9.0 and 13.1 months, respectively, with a statistically significant difference ( χ2=12.74, P<0.001) ; the median OS were 15.0 and 20.6 months, respectively, with a statistically significant difference ( χ2=24.75, P<0.001). The median OS of ESCC patients in two subgroups of cT 3-4N 1-3M 0 were 16.0 and 30.8 months, respectively, with a statistically significant difference ( χ2=23.49, P<0.001). Univariate analysis showed that tumor length ( HR=1.57, 95% CI: 1.04-2.36, P=0.032), objective response ( HR=0.08, 95% CI: 0.04-0.17, P<0.001), and consolidation chemotherapy ( HR=0.32, 95% CI: 0.20-0.51, P<0.001) were all influencing factors for OS in ESCC patients undergoing radical radiotherapy and chemotherapy in stages Ⅲ-ⅣA. Multivariate analysis showed that tumor length ( HR=1.59, 95% CI: 1.05-2.43, P=0.030), objective response ( HR=0.05, 95% CI: 0.02-0.10, P<0.001), and consolidation chemotherapy ( HR=0.22, 95% CI: 0.13-0.36, P<0.001) were all independent influencing factors for OS in stage Ⅲ-ⅣA ESCC patients undergoing radiotherapy and chemotherapy. In terms of safety, the consolidation chemotherapy group experienced 7 adverse reactions mainly gastrointestinal reaction and leukopenia, including 5 cases of grade 1-2 and 2 cases of grade 3-4; 22 cases of adverse reactions occurred in the control group including 16 cases of grade 1-2 and 6 cases of grade 3-4 mainly including neutropenia, thrombocytopenia, anemia and digestive tract reaction. The incidence rates of adverse reactions in the two groups were 12.96% (7/54) and 25.88% (22/85), respectively, with no statistically significant difference ( χ2=3.34, P=0.068) . Conclusion:After radical radiotherapy and chemotherapy, consolidation chemotherapy can significantly improve the prognosis of stage Ⅲ-ⅣA ESCC patients, and the overall adverse reactions are controllable.

Objective:To investigate the prevalence and mortality of dementia and assess the impact of geriatric syndromes (GS) on the risk for dementia and death in elderly population in Beijing.Methods:A cross-sectional survey was conducted in the elderly population aged ≥65 years and selected by a multi-stage sampling in Beijing during 2013-2015. Cognitive function was screened using the Chinese Revised Version of the Mini-Mental State Examination (MMSE). Then, neurological examination and psychiatric assessment were performed for those with the MMSE score lower than the cut-off value. The information about GS prevalence was also collected. The study also collected death records for all individuals from baseline until December 31, 2019. Based on the age and gender distribution from Beijing data of the 2010 Six th National Population Census, the dementia prevalence in the study population was directly standardized. Logistic regression analysis was used to evaluate the association of different forms of dementia with GS, and Cox proportional hazards regression model was used to estimate the hazard ratio ( HR) and 95% CI of death. Results:During 2013-2015, a total of 2 935 individuals completed dementia assessments, of which 167 were diagnosed with dementia. The standardized prevalence of dementia was 5.9% (95% CI: 5.0%-17.4%). The individuals with Alzheimer's disease (AD) and vascular dementia (VaD) accounted for 58.7% and 28.1% of total individuals with dementia, respectively. Aging, lower education level, urinary incontinence, and fall were risk factors for AD, while disability of activity of daily life dependence, hypertension, and stroke were found to be risk factors for VaD. After a median follow-up of 5.44 person-years, 399 deaths were recorded. The 5-year mortality risk was 2.87 (95% CI: 1.92-4.17) times and 4.93 (95% CI: 3.23-7.53) times higher for the elderly individuals with AD and VaD, respectively, compared to non-demented individuals. After adjusting for demographic, GS, and cardiovascular risk factors, the mortality risk in the elderly individuals with AD showed no significant difference compared with non-demented individuals ( HR=1.32, 95% CI: 0.89-1.97), while the mortality risk in those with VaD was 2.46 (95% CI: 1.49-4.05) times higher than that in non-demented individuals. Conclusions:The prevalence of dementia in Beijing increased significantly in the context of population aging, especially the prevalence of AD. The presence of GS increased the risks for AD and VaD, as well as the risk for death. Close attention needs to be paid to GS management in dementia prevention in elderly population.