Objective To investigate the effect of spontaneous hypertension on the remodeling of cardiac and aortic tissues in rats, with special attention to the changes in the content of collagen fibers, elastic fibers and secreted Frizzled-related protein 2 （sFRP2） in cardiac and aortic tissues. Methods 28-week-old SHR rats （Spontaneously Hypertensive rats） and WKY （Wistar-Kyoto rats） of the same age were selected as experimental animals. Cardiac load was assessed by calculating the cardiac weight index. Collagen fibers and elastic fibers were isolated from the rat thoracic aorta by hot alkali method, and their content was determined by biochemical analysis. In addition, pathological evaluation of tissue sections of the left ventricle and thoracic aorta were performed by H&E staining, Sirius red staining, and lichen red staining. Western blotting was used to determine the expression level of sFRP2 protein in cardiac tissues. Results Compared with WKY rats, the heart weight index of SHR rats increased significantly （P<0.001）, and the results of biochemical analysis and staining of pathological sections showed that the content of collagen fibers in the aorta in the SHR group was higher than that in the WKY group, while the content of elastic fibers was lower, but the difference did not have statistical significance. The content of collagen fibers in the heart of the SHR group was significantly higher than that in the WKY group （P<0.01）. Western blotting showed that there was no significant difference in the expression level of sFRP2 protein in heart tissues between the two groups. Conclusion The remodeling of cardiac and aortic tissues in a rat model of spontaneous hypertension may involve complex molecular mechanisms, not just changes in the content of collagen fibers and elastic fibers. The detailed mechanism of the progression of spontaneous hypertension and target organs damage still need further investigation.

ObjectiveTo explore the mechanism of Jiebiao Qingli decoction （JQD） in treating pneumonia caused by influenza A virus （IAV） infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control （NC）， model control （IAV）， oseltamivir （OSV， 37.5 mg·kg^-1）， and high-， medium-， low-dose JQD （H-， M-， and L-JQD： 6.05， 3.02， and 1.51 g·kg^-1， respectively） groups. The NC group was treated with normal saline nasal drops， and the other groups were intranasally inoculated with A/Brisbane/02/2018 （H1N1） ［pdm09-like virus （H1N1）］ for the modeling of IAV infection. Two hours post-modeling， the NC and IAV groups were administrated with normal saline by gavage， while other groups received corresponding drugs for 7 d. The body mass， survival status， and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7， the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was conducted to measure the viral load （IAV-M） and the mRNA levels of Toll-like receptor 7 （TLR7）， p38 mitogen-activated protein kinase （p38 MAPK）， and nuclear factor-kappa B （NF-κB） in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 （IL-2）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. ResultsCompared with the NC group， the IAV group showed reduced survival quality and survival days （P<0.01）， lung congestion， inflammatory cell infiltration， elevated lung index （P<0.01）， increased viral load （P<0.01）， upregulated TLR7， p38 MAPK， and NF-κB levels （P<0.05， P<0.01）， decreased IL-2 level （P<0.01）， and elevated IL-6 and TNF-α levels （P<0.01）. Compared with the IAV group， H-JQD prolonged survival days （P<0.05）. All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index （P<0.01）. M-JQD and H-JQD decreased the viral load （P<0.01）. H-JQD downregulated the mRNA levels of TLR7， p38 MAPK， and NF-κB （P<0.05， P<0.01） and the protein levels of p38 MAPK and NF-κB （P<0.01）， increased the serum IL-2 level （P<0.01）， and lowered the IL-6 and TNF-α levels （P<0.05， P<0.01）. M-JQD downregulated the mRNA level of NF-κB （P<0.01） and the protein level of p38 MAPK （P<0.05）， elevated the IL-2 level （P<0.01）， and lowered the TNF-α level （P<0.01）. ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway， increasing IL-2， and reducing excessive secretion of IL-6 and TNF-α.

ObjectiveTo explore the mechanism of Jiebiao Qingli decoction （JQD） in treating pneumonia caused by influenza A virus （IAV） infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control （NC）， model control （IAV）， oseltamivir （OSV， 37.5 mg·kg^-1）， and high-， medium-， low-dose JQD （H-， M-， and L-JQD： 6.05， 3.02， and 1.51 g·kg^-1， respectively） groups. The NC group was treated with normal saline nasal drops， and the other groups were intranasally inoculated with A/Brisbane/02/2018 （H1N1） ［pdm09-like virus （H1N1）］ for the modeling of IAV infection. Two hours post-modeling， the NC and IAV groups were administrated with normal saline by gavage， while other groups received corresponding drugs for 7 d. The body mass， survival status， and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7， the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was conducted to measure the viral load （IAV-M） and the mRNA levels of Toll-like receptor 7 （TLR7）， p38 mitogen-activated protein kinase （p38 MAPK）， and nuclear factor-kappa B （NF-κB） in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 （IL-2）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. ResultsCompared with the NC group， the IAV group showed reduced survival quality and survival days （P<0.01）， lung congestion， inflammatory cell infiltration， elevated lung index （P<0.01）， increased viral load （P<0.01）， upregulated TLR7， p38 MAPK， and NF-κB levels （P<0.05， P<0.01）， decreased IL-2 level （P<0.01）， and elevated IL-6 and TNF-α levels （P<0.01）. Compared with the IAV group， H-JQD prolonged survival days （P<0.05）. All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index （P<0.01）. M-JQD and H-JQD decreased the viral load （P<0.01）. H-JQD downregulated the mRNA levels of TLR7， p38 MAPK， and NF-κB （P<0.05， P<0.01） and the protein levels of p38 MAPK and NF-κB （P<0.01）， increased the serum IL-2 level （P<0.01）， and lowered the IL-6 and TNF-α levels （P<0.05， P<0.01）. M-JQD downregulated the mRNA level of NF-κB （P<0.01） and the protein level of p38 MAPK （P<0.05）， elevated the IL-2 level （P<0.01）， and lowered the TNF-α level （P<0.01）. ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway， increasing IL-2， and reducing excessive secretion of IL-6 and TNF-α.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

ObjectiveTo investigate the effect of neuromuscular electrical stimulation (NMES) on quadriceps muscle strength and walking for patients after anterior cruciate ligament reconstruction (ACLR). MethodsThirty-four patients after ACLR were selected at Beijing Rehabilitation Hospital of Capital Medical University from July, 2022 to October, 2023, and randomly divided into control group (n = 17) and experimental group (n = 17). Both groups received routine rehabilitation and functional training, and the experimental group received NMES during the functional training, while the control group received sham NMES, for eight weeks. Quadriceps peak torque-to-weight ratio, single-leg support phase and plantar impulses during walking were measured before and after intervention. ResultsTwo cases in the control group and three in the experimental group dropped down. Quadriceps peak torque-to-weight ratio improved in both groups after intervention (|t| > 17.578, P < 0.001), and improved more in the experimental group than in the control group (t = 4.714, P < 0.001); while the affected single-leg support phase and the affected/unaffected single-leg support phase ratio improved in both groups (|t| > 16.882, P < 0.001), and improved more in the experimental group than in the control group (t > 3.234, P < 0.01); and plantar impulses of all zones optimized in both groups (t > 9.221, P < 0.001), and were better in the experimental group than in the control group(|t| > 2.852, P < 0.01). ConclusionNMES may further improve quadriceps muscle strength, plantar pressure distribution during walking and single-leg support in patients after ACLR.