ObjectiveTo investigate the effects of Xijiao Dihuangtang （XJDHT） on mice with sepsis and cellular models of sepsis and explore its molecular mechanism in alleviating sepsis-induced inflammatory responses via regulating pyruvate kinase M2 （PKM2）-mediated one-carbon metabolism pathway. MethodsForty C57BL/6N mice were randomly divided into four groups： normal group， model group， low-dose XJDHT group （7.7 g·kg^-1）， and high-dose XJDHT group （15.4 g·kg^-1）. After one week of continuous gavage， sepsis was induced using cecal ligation and puncture （CLP） in groups except the normal group. 24 h after the surgery， mortality rates in all groups were recorded， and serum cytokines were measured by enzyme linked immunosorbent assay （ELISA）. Lung histopathology was examined by hematoxylin-eosin （HE） staining. During the in vitro experiment， the human monocytic leukemia cell line （THP-1） was exposed to various concentrations of XJDHT and treated with lipopolysaccharide （LPS） at a final concentration of 2 mg·L^-1 for 24 h. Cell apoptosis was detected using terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay. Protein levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， B-cell lymphoma 2 （Bcl-2）， and Bcl-2-associated X protein （Bax） were measured by Western blot. Transcriptome sequencing was performed to analyze differentially expressed genes in all groups and conduct gene ontology （GO） enrichment. Key genes in the one-carbon metabolism pathway， including pyruvate kinase M2 （PKM2）， 5-methyltetrahydrofolate-homocysteine methyltransferase （MTR）， and phosphoglycerate dehydrogenase （PHGDH）， were verified by Western blot. A PKM2 inhibition model was established using shikonin for further protein expression analysis. ResultsAnimal experiments showed that compared with the normal group， the model group exhibited significantly elevated body temperature and lung pathology （P<0.01） and increased serum TNF-α and IL-1β levels （P<0.01）. High-dose XJDHT reduced body temperature and lung tissue damage （P<0.01） and significantly decreased serum TNF-α and IL-1β levels （P<0.01）. Low-dose XJDHT treatment showed no significant temperature change （P<0.01） but reduced serum TNF-α and IL-1β levels （P<0.01）. Transcriptome sequencing and Western blot revealed significant differences in the expression of TNF-α， IL-1β， and one-carbon metabolism genes （PKM2， MTR， and PHGDH） （P<0.01）. Cell experiments demonstrated that compared to the normal group， the model group showed elevated protein expressions of TNF-α and IL-1β in THP-1 cells （P<0.01）， decreased Bcl-2/Bax ratio， and increased apoptosis （P<0.01）. Transcriptome sequencing and Western blot revealed significant differences in the expression of TNF-α， IL-1β， and one-carbon metabolism genes （PKM2， MTR， and PHGDH） （P<0.01）. Compared to the model group， high-dose XJDHT significantly increased Bax/Bcl-2 ratio and PHGDH protein expression （P<0.01） and effectively reduced cell apoptosis （P<0.01） while down-regulating protein expressions of TNF-α， IL-1β， PKM2， and MTR （P<0.01）. Low-dose XJDHT moderately increased Bax/Bcl-2 ratio and PHGDH protein expression （P<0.05）， reduced apoptosis （P<0.05）， and decreased IL-1β and MTR protein levels （P<0.05， P<0.01）， but there were no significant changes in TNF-α and PKM2 expression. After PKM2 inhibition by shikonin in THP-1 cells， the expression of protein related to one-carbon metabolism was detected. Compared with the blank group， the LPS-induced model group showed significantly upregulated PKM2 and MTR protein expression （P<0.01） and downregulated PHGDH expression （P<0.01）. Compared with the model group， shikonin treatment significantly reduced PKM2 expression （P<0.05）， increased PHGDH expression （P<0.01）， and decreased MTR expression （P<0.05）. ConclusionXJDHT can inhibit the release of inflammatory factors in sepsis， and its mechanism is related to the intervention of the PKM2-regulated one-carbon metabolism pathway in macrophages.

Chronic pancreatitis （CP） is a chronic disease characterized by recurrent inflammation and progressive damage to pancreatic tissue， and its deterioration may increase the risk of pancreatic cancer in patients with CP， which seriously threatens the health of patients with CP. In recent years， studies on the pathogenesis of CP have mostly focused on the activation of pancreatic stellate cells （PSCs） and its role in pancreatic fibrosis. This article elaborates on the mechanism of action of PSCs in CP， summarizes the current status of research on effective traditional Chinese medicine components and prescriptions for intervention of PSCs in the treatment of chronic CP， and proposes the future research directions for effective traditional Chinese medicine components and prescriptions， so as to provide a reference for the clinical treatment of CP patients in the future.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

Objective To investigate the species of ticks in Suizhou City, Hubei Province, so as to provide insights into management of ticks and tick-borne diseases. Methods During the period between May 2023 and June 2024, livestock breeding farms and vegetation neighboring the place of residence of confirmed and suspected patients with tick-borne disease were selected as sampling points in rural areas from Yindian Township, Gaocheng Township, Wanhe Township, Wushan Township, Xiaolin Township, Xihe Township, Hedian Township and Beijiao Street in Suizhou City, Hubei Province, where confirmed and suspected cases with tick-borne diseases had been reported. The parasitic ticks on the body surface of free-range livestock were captured with tweezers in livestock breeding farms, and free ticks on the vegetation surface were captured with the flagging method. Morphological identification of tick samples was performed under a microscope, and the gender and developmental stage of ticks were determined. One engorged adult tick, 2 to 3 blood-feeding but non-engorged adult ticks, 10 to 15 unfed female ticks, 15 to 20 unfed male ticks, and 30 to 40 tick nymphs or larvae were assigned into a group, respectively. Genomic DNA was extracted from tick samples in each group, and mitochondrial 16S rRNA gene was amplified. Sequence analysis was performed with the DNASTAR software, and phylogenetic analysis was performed using the software MEGA 7.0. In addition, the phylogenetic tree was generated using the maximum likelihood method based on the Kimura 2 parameter model. Results A total of 2 438 ticks were captured from Suizhou City, Hubei Province during the period between May 2023 and June 2024, including 595 free ticks and 1 483 parasitic ticks. Three developmental stages of ticks were captured, including larvae, nymphs, and adults, and 75.18% (1 899/2 438) of captured ticks were adult, in which 79.04% (1 501/1 899) were female. Morphological and molecular biological assays identified one family, three genera and four species of captured ticks, including 2 425 Haemaphysalis longicornis ticks (99.47%) and one H. flava tick (0.04%) of the genus Haemaphysalis, 11 Rhipicephalus microplus ticks (0.45%) of the genus Rhipicephalus, and one Ixodes sinensis tick (0.04%) of the genus Ixodes in the family Ixodidae. Phylogenetic analysis revealed that the H. longicornis sequence (SZ49) in this study was clustered with sequences from Yunnan Province (GenBank accession number: MH024510.1), Hebei Province (GenBank accession number: MK450606.1) and Henan Province (GenBank accession number: MZ230645.1) into a clade, and the H. flava sequence (SZ19) in this study was clustered with sequences from Japan (GenBank accession number: MW064044.1), South Korea (GenBank accession number: ON629585.1), and Jiangsu Province (GenBank accession number: PP494741.1) and Hebei Province of China (GenBank accession number: MH520685.1) into a clade, while the R. microplus sequence (SZ8) in this study was clustered with the sequences from India (GenBank accession number: MK621328.1), and Henan Province (GenBank accession number: MT555307.1) and Guizhou Province of China (GenBank accession number: PP446801.1) into a clade. The sequence of I. sinensis (SZ23) in this study had 99.51% homology with that (GenBank accession number: OM368265.1) of ticks sampled from Wuhan City, Hubei Province. Conclusion There are four tick species of H. longicornis, H. flava, R. microplus and I. sinensis in Suizhou City, Hubei Province, and H. longicornis is the dominant species. H. flava is firstly recorded in Suizhou City.

Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

ObjectiveTo investigate the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract （ASH） in treating Parkinson's disease （PD） in mice by Data-Independent Acquisition （DIA） proteomics. MethodsThe α-Synuclein （α-Syn） transgenic PD mice were selected as suitable models for PD， and they were randomly assigned into PD， ASH （61.25 mg·kg^-1）， and Madopar （97.5 mg·kg^-1） groups. Male C57BL/6 mice of the same age were selected as the control group， with eight mice in each group. Mice were administrated with corresponding drugs by gavage once a day for 20 days. The pole climbing time and the number of autonomic activities were recorded to evaluate the exercise ability of mice. Hematoxylin-eosin staining was employed to observe neuronal changes in the substantia nigra of PD mice. Immunohistochemistry （IHC） was employed to measure the tyrosine hydroxylase （TH） activity in the substantia nigra and assess the areal density of α-Syn in the striatum. DIA proteomics was used to compare protein expression in the substantia nigra between groups. IHC was utilized to validate key differentially expressed proteins， including Lactotransferrin， Notch2， Ndrg2， and TMEM 166. The cell counting kit-8 （CCK-8） method was used to investigate the effect of ASH on the viability of PD cells with overexpression of α-Syn. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were employed to determine the protein and mRNA levels of Lactotransferrin， Notch2， Ndrg2， and TMEM 166 in PD cells. ResultsCompared with the control group， the model group showed prolonged pole climbing time， diminished coordination ability， reduced autonomic activities （P<0.01）， and reduced swelling neurons. Compared with the model group， ASH and Madopar reduced the climbing time， increased autonomic activities （P<0.01）， and ameliorated neuronal damage. Compared with the control group， the model group showed a decrease in TH activity in the substantia nigra and an increase in α-Syn accumulation in the striatum （P<0.01）. Compared with the model group， the ASH group showed an increase in TH activity and a reduction in α-Syn accumulation （P<0.05）. DIA proteomics revealed a total of 464 differentially expressed proteins in the model group compared with the control group， with 323 proteins being up-regulated and 141 down-regulated. A total of 262 differentially expressed proteins were screened in the ASH group compared with the model group， including 85 proteins being up-regulated and 177 down-regulated. Kyoto encylopedia of genes and genomes （KEGG） pathway analysis indicated that ASH primarily regulated the Notch signaling pathway. The model group showed up-regulation in protein levels of Notch2， Ndrg2， and TMEM 166 and down-regulation in the protein level of Lactotransferrin compared with the control group （P<0.01）. Compared with the model group， ASH down-regulated the protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.05） while up-regulating the protein level of Lactotransferrin （P<0.01）. The IHC results corroborated the proteomics findings. The cell experiment results showed that compared with the control group， the modeling up-regulated the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while down-regulating the mRNA and protein levels of Lactotransferrin （P<0.01）. Compared with the model group， ASH reduced the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while increasing the mRNA and protein levels of Lactotransferrin （P<0.05， P<0.01）. ConclusionASH may Synergistically inhibit the Notch signaling pathway and mitigate neuronal damage by down-regulating the expression of Notch2 and Ndrg2. Additionally， by up-regulating the expression of Lactotransferrin and down-regulating the expression of TMEM166， ASH can address brain iron accumulation， intervene in ferroptosis， inhibit mitophagy， and mitigate reactive oxygen species damage， thereby protecting nerve cells and contributing to the treatment of PD.

Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

Objective To construct an optimal prediction model of chickenpox in Urumqi, and to provide reference for formulating the prevention and control strategies of chickenpox. Methods The multivariate autoregressive moving average model (ARIMAX) and random forest model (RF) were established based on the monthly incidence of chickenpox in Urumqi from 2014 to 2018, and the monthly incidence of chickenpox in 2019 was used to test the models and evaluate their prediction effect. The prediction performance of the two models was compared, and the best model was selected to predict the incidence of chickenpox in Urumqi. Results The incidence of chickenpox in Urumqi showed a regular bimodal distribution with obvious seasonality, and it showed a slow upward trend from July 2014 to December 2019. The fitting model was ARIMA(0,1,0)(0,1,1)₁₂, the root mean square error (RMSE) and mean absolute error (MAE) of ARIMAX model training set were 1.29 and 0.95, respectively, and the RMSE and MAE of the test set were 1.88 and 1.44, respectively. The training set RMSE and MAE of RF model were 1.56 and 1.56, respectively, and the test set RMSE and MAE were 4.83 and 3.96, respectively. Conclusion The performance of ARIMAX model is better than that of RF model, which can better predict the incidence trend of chickenpox in Urumqi. It is necessary to optimize the prediction model according to the actual situation and provide scientific guidance for the prevention and control of chickenpox.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.