ObjectiveThis paper aims to systematically collect and organize ancient and modern clauses and studies containing Xieqingwan， excavate and analyze the key information of Xieqingwan， and provide a reference for facilitating the development of the classic formula Xieqingwan. MethodsThe composition， dosage， decocting methods， usage， and other key information of Xieqingwan in ancient traditional Chinese medicine books were collected and analyzed by means of literature research and metrological methods. The modern clinical application of Xieqingwan was summarized. ResultsA total of 42 pieces of effective data involving 32 ancient traditional Chinese medicine books were collected. Xieqingwan was first recorded in Xiaoer Yaozheng Zhijue. The drug origin of this formula is basically clear in the ancient traditional Chinese medicine books. The modern drug usage and decocting method were as follows： Angelicae Sinensis Radix， Gentianae Radix et Rhizoma， Chuanxiong Rhizoma， Gardenia seeds， Radix et Rhizoma Rhei， Notopterygii Rhizoma et Radix， and Saposhnikoviae Radix were grounded to fine powder， decocted with honey， and finally formed into pills with the size of a chicken head （1.5 g）. It was suggested that half a pill or one pill were taken for one dose with warm Lophatheri decoction and sugar. The indications and clinical application had developed from the recordings in Xiaoer Yaozheng Zhijue and evolved from pediatrics to ophthalmic otolaryngology， neurology， dermatology， digestion， and respiratory diseases. The main pathogenesis of these diseases is heat in the liver meridian and is treated. The effect of Xieqingwan is "clearing away heat and toxicity， removing fire and relaxing the bowels， and dispersing swelling and relieving pain". It is recommended to use the corresponding preparation methods in the 2020 Edition of Pharmacopoeia of the People's Republic of China. Modern clinical studies are centered around the clinical application of Xieqingwan， which is often modified and used in treating Tourette syndrome， herpes， febrile convulsion， sleepwalking， and insomnia. ConclusionThis paper conducts a thorough textual research of the key information of Xieqingwan， induces its historic evolution， and confirms its key information， so as to provide a reference for the future development of Xieqingwan.

The elevated polyamines, amine-rich molecules with diverse functions in pathophysiology processes, are implicated in contributing to tumorigenesis and progression. Whether and how they affect the efficacy of chemotherapy is incompletely understood. Our screening assays reveal that the supplement with a low dose of spermidine (Spd), one of the polyamines, enhances ferroptosis in prostate cancer cells as evidenced by increased lipid peroxidation and intracellular Fe²⁺ levels in vitro. Combination treatment with Spd and a low dose of ferroptosis inducer erastin synergistically augments anti-tumor efficacy with undetectable toxicity in mice. Analysis of RNA-seq data indicates that heme oxygenase 1 (HMOX1), an enzyme that catalyzes the cleavage of heme to release Fe²⁺, is significantly upregulated in response to Spd and erastin cotreatment. Spd mediated the hypusine modification of the eukaryotic initiation factor 5A (EIF5A) promotes the translation of the nuclear factor erythroid 2-related factor 2 (NRF2), subsequently leading to elevation of HMOX1. Moreover, Spd and erastin significantly inhibit proteasome activity which results in a decrease in proteasomal degradation of NRF2, although many proteasome-related genes are induced either by Spd or Spd plus erastin. Thus, in addition to its pro-oncogenic activity, the supplement of Spd improves antitumor activity in combination with ferroptosis inducers and offers an optional approach to cancer treatment.

Objective:To study and analyze the status quo and influencing factors of breast cancer patients′ concern about the upbringing of their minor children, and to provide a reference for clinical improvement of the level of breast cancer patients′ concern about parenting.Methods:A total of 247 breast cancer patients in the daytime ward of Tianjin Medical University Cancer Hospital from March to May 2023 were selected by convenience sampling. The General Information Questionnaire, Parenting Concerns Questionnaire, Parenting Sense of Competence Scale were selected for cross-sectional investigation. The multiple linear regression model was used to analyze the influencing factors of breast cancer patients′ worries about the upbringing of their minor children.Results:Finally, 240 valid questionnaires were ultimately collected. There were 12 patients with breast cancer aged 20-29 years old, 76 patients aged 30-39 years old, 117 patients aged 40-49 years old, and 35 patients aged ≥50 years old. The total score of breast cancer patients′anxiety about minor children′s rearing was (37.34 ± 2.56) points. The scores of each dimension were in order of (15.14 ± 1.02) worry about the actual impact on children, (11.15 ± 0.83) worry about the emotional impact on children, and (11.05 ± 0.71) worry about the parents of children. The total score of parenting competence (66.54 ± 11.68) points. Multiple linear regression analysis showed that parenting competence, educational level, number of underage children, per capita monthly income of families, and TNM stage (T: tumor primary lesion; N: regional lymphnode involvement; M: remote metastasis situation) affected parenting anxiety ( t values were -15.24-8.56, all P<0.05), which could explain 81.2% of the total variation in parenting anxiety level. Conclusions:Breast cancer patients′ concern about the upbringing of minor children is at a medium level, so medical staff should give relevant intervention measures to breast cancer patients with different characteristics, in order to provide reference for reducing the level of concern about the upbringing of minor children.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.

Objective:To analyze the genetic characteristics of the complete genome of a strain of human respiratory syncytial virus (HRSV) in Qinghai province in 2024.Methods:A total of 300 samples were collected during 2024 influenza surveillance in Qinghai province sentinel hospitals from patients with fever accompanied by severe respiratory infection symptoms. We used real-time fluorescent quantitative reverse transcription polymerase chain reaction RT-PCR) method to screen out HRSV subtype B (HRSVB) positive specimens, whole genome sequencing was performed on positivespecimens meeting the requirements for the sequencing. After downloading the global representative HRSVB genotypes at GenBank database, sequence alignment was performed, related evolutionary tree was built and the calculation and analyses of genetic distance were done, analyses of HRSVB sequencing of sequence homology of nucleotides, amino acids and amino acid mutation were performed.Results:The first strain in Qinghai, China/qinghai/2024-03 had a complete sequence of 15 140 bp nucleotides, with HRSV′s all structural characteristics, and subtype HRSVA prototype strain Long strains of nucleotide the lowest homology was 80.0%, and subtype HRSVB prototype strain nucleotide homology was above 94.7%. The result indicated that the first strain in Qinghai belonged to HRSVB subtype. Genetic evolution shows China/qinghai/2024-03 and USA/WA-S23450/2021 (OR326803.1) and Germany/2021 (OR795235.1) all belong to a branch, they have the closest relationship. Phylogenetic analysis of G gene showed that the strain belonged to BA9 genotype of HRSVB subtype, and the hypervariable regions of the genome were SH and G genes.Conclusions:In this study, the complete genome sequence of HRSV China/qinghai/2024-03 was obtained for the first time, and the basic molecular structural characteristics were elucidated, which filled the gaps in the gene and amino acid data of HRSV in our province, and also provided a basis for HRSV epidemiology.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.