Liumotang comes from the Yuan dynasty's Effective Prescription Handed Down for Generations of Physicians. It is composed of six medicinal materials： Arecae Semen， Aquilariae Lignum Resinatum， Aucklandiae Radix， Linderae Radix， Rhei Radix et Rhizoma， and Aurantii Fructus. It is a classical formula for treating abdominal pain due to Qi stagnation and constipation accompanied by heat. This study systematically collated the records of Liumotang in ancient medical books and modern clinical literature and conducted in-depth analysis and textual research on its formula source， main diseases， composition， dosage， medical books， container capacity， processing， preparation method， usage， drug basis， formula meaning， and other key information， so as to provide a powerful reference for the development and clinical application of compound preparations of the classical formula Liumotang. The results show that Liumotang was first seen in Effective Prescription Handed Down for Generations of Physicians， and many medical books of the past dynasties have imitated this. In terms of drug basis， the dried and mature seeds of the palm plant Areca catechu， resin-containing wood of the Daphneaceae plant Aquilaria sinensis， the dried roots of the Asteraceae plant woody Aucklandia lappa， the dried tuber root of the Lauraceae plant Lindera aggregata， the dried roots and rhizomes of the knotweed plant， R. palmatum， R.tangutikum， and R. officinale， and the dried and unripe fruits of the citrus genus C. aurantium and its cultivated varieties from the family Rutaceae were selected. In terms of dosage， through the textual research on bowls in the Ming and Qing dynasties， combined with the conversion of medicines and bowl capacity in the Qing dynasty， it was estimated that the dosage of each drug in the Yuan dynasty was 10.86 g. In the Ming and Qing dynasties， the dosage of drugs was mostly equal， but the dosage of drugs was somewhat different. In terms of processing， preparation method， and usage， in the medical books of the past dynasties， the processing of drugs has slightly changed， but raw drugs are used in all preparations. The preparation method and usage did not change much during the Yuan， Ming， and Qing dynasties， except for certain differences in dosage. In terms of syndrome， Liumotang was first used to treat abdominal pain due to Qi stagnation and constipation accompanied by heat. Medical books of the past dynasties often omit the symptoms of heat. In modern clinical practice， Liumotang is mainly used in the digestive system and urinary system diseases and is mostly used to treat constipation-predominant irritable bowel syndrome， biliary reflux gastritis， functional constipation， slow transit constipation， and other diseases， with no adverse reactions found yet. The above results provide a reliable scientific basis for the development and clinical treatment of Liumotang compound preparations.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Background Unhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. Objective To investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. Methods The study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. Results The median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (P_interaction<0.05). Conclusion This occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions.

ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.

ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.