ObjectiveTo study the chemical constituents of Painong powder and the constituents absorbed into blood after oral administration to rats by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-Q-Orbitrap-MS）. MethodsUPLC-Q-Orbitrap-MS was employed for mass spectrometry data acquisition. The chemical constituents of Painong Powder and the constituents absorbed into blood were characterized and identified via Xcalibur 4.2 and Compound Discoverer v3.3.1 （CD） based on retention time， accurate molecular weights， secondary fragmentation ions， and comparison with reference standards and literature reports. ResultsA total of 176 chemical compounds， including 56 flavonoids， 42 triterpenoid saponins， 23 monoterpenes， 7 coumarins， 5 tannins， and other 43 compounds were identified from Painong powder. 49 components were identified in the rat plasma after oral administration of Painong powder， including 33 prototype constituents and 16 metabolites. The major metabolic pathways included hydrolysis in phase Ⅰ metabolic reactions， as well as methylation， sulfation， and glucuronidation in phase Ⅱ metabolic reaction. ConclusionThe method comprehensively identified the chemical constituents of Painong powder both in vitro and in vivo， and may provide a reference for the study of quality control and clinical applications.

Diabetic nephropathy （DKD）， as a common microvascular complication of diabetes mellitus （DM）， is a major cause of end-stage renal disease （ESRD）. Its clinical manifestations include increased urinary protein excretion， thickening of the glomerular basement membrane， and renal tubulointerstitial fibrosis. The pathogenesis of DKD is complex and involves multiple factors， including disordered glucose metabolism， hemodynamic alterations， and oxidative stress. Although modern medical approaches can alleviate certain symptoms， they still have limitations such as insufficient therapeutic targeting and prominent adverse effects. The transforming growth factor-β/Smad （TGF-β/Smad） signaling pathway is not only a tissue fibrosis pathway that has attracted considerable attention in recent years， but also regulates multiple protein molecules， including the glomerular podocyte slit diaphragm protein Podocin， interleukin-1β （IL-1β）， and superoxide dismutase （SOD）， thereby participating in various pathological processes and ultimately mediating renal injury. Flavonoid compounds， owing to their sustained pharmacological effects， broad spectrum of action， and high safety profile， have become ideal candidates for targeted therapy research in DKD. Existing studies have shown that these compounds can exert inhibitory effects on renal fibrosis， alleviate inflammatory responses， protect podocytes， and reduce oxidative stress by regulating the interactions between the TGF-β/Smad signaling pathway and the aforementioned protein molecules， thereby maintaining renal structure and function， reducing proteinuria， and significantly improving DKD lesions. This review briefly outlines the composition and functions of the TGF-β/Smad signaling pathway， elucidates the mechanisms by which this pathway regulates DKD， and focuses on summarizing major studies from the past decade on flavonoid-based interventions in DKD through targeted inhibition of the TGF-β/Smad signaling pathway. Furthermore， it discusses the considerable therapeutic potential of flavonoids in the treatment of this disease， aiming to provide a scientific basis for future clinical prevention and treatment of DKD and to promote the development of targeted drugs.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

The pain-evoked potential electroencephalogram (EEG) is an effective electrophysiological indicator for pain assessment, yet its extraction is challenging due to interference from background activity and involuntary blinks. Although existing blink artifact-removal methods show efficacy, they face limitations such as the need for reference signals, neglect of individual differences, and reliance on user input, hindering their practical application in clinical pain assessments. In this paper, we propose a novel framework applying adaptive quadrature mirror filter banks (AQMFB) with discrete wavelet transform (DWT) to remove blink artifacts in pain EEG. Unlike traditional DWT methods that apply fixed wavelets across subjects, our method adapts wavelet construction based on the characteristics of EEG. Experimental results demonstrate that AQMFB-DWT outperforms four leading methods in removing blink artifacts with minimal distortion of pain information, all within an acceptable processing time. This technique is a valuable preprocessing step for enhancing the extraction of pain-evoked potentials.
Humans ; Artifacts ; Blinking/physiology* ; Electroencephalography/methods* ; Pain/diagnosis* ; Male ; Wavelet Analysis ; Adult ; Female ; Evoked Potentials/physiology* ; Young Adult ; Brain/physiopathology* ; Pain Measurement/methods* ; Signal Processing, Computer-Assisted

Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.

Objective:To study the regulatory effect of Wumen-Yiji powder on 5-hydroxytryptamine (5-HT) signal transduction system in intestine and hypothalamus of diarrhea irritable bowel syndrome (IBS-D) model rats. Methods:Sixty male SD rats were randomly divided into blank group (10 rats) and diarrhea irritable bowel syndrome group (50 rats). The diarrhea irritable bowel syndrome group formed the diarrhea irritable bowel syndrome model after 2 weeks of senna leaf gavage and restraint stress. They were randomly divided into model group, deshute group (1.5 mg/kg), low, medium and high dose group of Wumen-Yiji San (6, 12, 24 g/kg), with 10 rats in each group. After continuous administration for 2 weeks, the contents of 5-HT in serum, colon and hypothalamus were detected by ELISA; HE staining was used to observe the pathological changes of colon in each group. The protein and mRNA levels of tryptophan hydroxylase 1 (TPH-1), serotonin receptor 3 (5-HT3R), serotonin receptor 4 (5-HT4R), serotonin transporter (SERT) in colon and hypothalamus were detected by Western blot and RT-PCR, respectively. Results:Compared with the model group, the pathological morphology of colon in each treatment group was improved. Compared with the model group, the level of 5-HT in serum and colon significantly decreased ( P<0.05), and the level of 5-HT in hypothalamus of rats in the low, medium, high dose group of Wumen-Yiji San significantly increased ( P<0.05). The expression of TPH-1, 5-HT3R and 5-HT4R protein significantly decreased ( P<0.05), and the expression of SERT protein in the medium, high dose group of Wumen-Yiji San significantly increased ( P<0.05). The expression of TPH-1, 5-HT3R and 5-HT4R protein in hypothalamus increased ( P<0.05), and the expression of SERT protein in the high dose group of Wumen-Yiji San significantly decreased ( P<0.05). The mRNA levels of TPH-1 (4.778 ± 0.604, 3.278 ± 0.668, 1.670 ± 0.361 vs. 6.877 ± 0.148), 5-HT3R (3.807 ± 0.463, 2.697 ± 0.455, 1.132 ± 0.136 vs. 6.322 ± 0.778), 5-HT4R (4.521 ± 0.234, 2.801 ± 0.351, 1.331 ± 0.142 vs. 6.741 ± 0.293) in colon tissue of low, medium and high dose groups of Wumen-Yiji San decreased ( P<0.05). The level of 5-HT4R mRNA (0.616 ± 0.208, 0.726 ± 0.226 vs. 0.521 ± 0.062) increased ( P<0.05), and the level of SERT mRNA (1.563 ± 1.023 vs. 2.612 ± 1.035) in medium, high dose group of Wumen-Yiji San decreased ( P<0.05). Conclusion:The result showed that Wumen-Yiji San could regulate the expression of 5-HT signaling system relating proteins and mRNA in the colon and hypothalamus of IBS-D rats within a certain dose range, so as to improve the symptoms of IBS-D.