ObjectiveThis study aims to elucidate the potential mechanism of Zuojinwan in improving liver fibrosis through hepatic tissue metabolomics analysis. MethodsTwenty-four mice were randomly allocated into normal group， model group ， positive drug group （silymarin， 100 mg·kg^-1）， and Zuojinwan group （Zuojinwan solution， 2.5 g·kg^-1）， with per group six mice. Liver fibrosis model was induced via intraperitoneal injection of olive oil solution with 10% carbon tetrachloride （CCl₄） （0.5 μL·g^-1， three times weekly for 8 weeks） in all groups except the normal group. During the final 4 weeks， the silymarin group received silymarin （100 mg·kg^-1） by gavage thrice weekly， while the Zuojinwan group was administered Zuojinwan solution （2.5 g·kg^-1） under the same regimen. After the last administration， the levels of liver fibrosis indicators and liver injury markers in serum were detected. The pathological morphological changes of the liver tissues were observed. The levels of liver fibrosis markers α-smooth muscle actin （α-SMA） and Collagen Ⅰ（ColⅠ） were detected. Metabolomics was analyzed on mice's liver tissues. The mice's serum was collected for metabolomics analysis. ResultsCompared with the model group， Zuojinwan significantly improved indicators related to liver fibrosis and liver injury. Compared with the normal group， the model group showed significantly elevated levels of fibrosis markers such as laminin （LN）， hyaluronic acid （HA）， procollagen typeⅢ （PC-Ⅲ）， and type Ⅳ Collagen （Ⅳ-C）， while liver injury indicators such as alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， alkaline phosphatase （ALP）， lactate dehydrogenase （LDH）， and total bilirubin （TBIL）， exhibited a marked upward trend （P<0.05）. Compared with the model group， the silymarin group showed a significant decrease in the aforementioned indicators （P<0.05）. Notably， compared with the model group， the Zuojinwan group exhibited a significant reduction in all these indicators （P<0.05）， with efficacy comparable to that of the silymarin group. Zuojinwan reduced mRNA and protein levels of α-SMA and ColⅠ in the liver tissue. Metabolomics results revealed that compared with the model group， Zuojiinwan significantly reduced levels of glucose metabolism-related metabolites such as D-fructose 1，6-bisphosphate （FBP）， nicotinamide adenine dinucleotide phosphate （NADPH）， sodium beta-D-fructose 6-phosphate （F6P）， dihydroxyacetone phosphate （DHAP）， fumaric acid， and D-glucose 6-phosphate （G6P） （P<0.05）. Serum enzyme-linked immunosorbent assay （ELISA） was used to detect glucose metabolism indicators and further validate the regulatory effect of Zuojinwan on glucose metabolism. ConclusionThese results suggest that Zuojinwan may improve liver fibrosis by regulating the dysregulated levels of glucose metabolism during the progression of liver fibrosis.

Hepatic fibrosis is a key pathological process in the development of chronic liver disease to cirrhosis, and its core mechanism involves the activation of hepatic stellate cells(HSC) and abnormal deposition of extracellular matrix(ECM). Although existing treatments, such as antiviral drugs, can delay disease progression, they have the problem of single therapeutic targets and cannot reverse fibrosis. Accordingly, multidimensional intervention strategies are urgently needed. Recent studies have shown that circadian rhythm disorders aggravate hepatic fibrosis by regulating metabolism, immunity, and inflammation. Traditional Chinese medicine(TCM) plays a unique role in restoring the circadian clock via multi-target and holistic regulation. This paper establishes a three-dimensional network by systematically integrating biological clock, metabolism, and immunity for the first time to elucidate the scientific connotation of the theory of time-concerned treatment of TCM, and proposes a new strategy for the development of time-targeted compound prescriptions, providing innovative ideas for the treatment of hepatic fibrosis.
Humans ; Liver Cirrhosis/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Circadian Rhythm/drug effects* ; Animals ; Medicine, Chinese Traditional ; Hepatic Stellate Cells/drug effects*

To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

Objective:To explore the phenotypic and genotypic characteristics of a Chinese pedigree affected with Hereditary coagulation factor Ⅺ (FⅪ) deficiency.Methods:A female patient with FⅪ deficiency and her family members (five individuals from three generations) who presented at Quanzhou First Hospital Affiliated to Fujian Medical University on September 19, 2024 due to diarrhea and fever were selected as study subjects. A retrospective study was conducted to collect the patients′ clinical data. Peripheral venous blood samples were collected from the patient and her family members. Genomic DNA was extracted, followed by sequencing of all exons and flanking sequences of the F11 gene. Candidate variants were validated by Sanger sequencing of the family members, and their pathogenicity was classified according to the guidelines of the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Quanzhou First Hospital [Approval No.: Quanyi Lun (2024) K281]. Results:The patient exhibited significantly prolonged activated partial thromboplastin time (APTT) of 80.9 seconds, while FⅪ activity (FⅪ: C) and FⅪ antigen (FⅪ: Ag) levels were extremely low (2% and 3%, respectively). Genetic analysis revealed that the proband harbored homozygous c. 896C>G (p.Thr299Ser) missense variant in exon 9 of the F11 gene, for which her son was heterozygous. The variant was located in a highly conserved domain. Although Mutation Taster predicted it as a polymorphism, SIFT, PolyPhen-2, and LRT analyses suggested it to be likely pathogenic. Protein modeling indicated that the p. Thr299Ser variant may alter the hydrogen bonds between amino acids, thereby affecting the structure and function of the FⅪ protein. According to the ACMG guidelines, c. 896C>G was rated as a likely pathogenic variant (PM1+ PM2_Supporting+ PP1_Strong+ PP3+ PP4). Conclusion:The c. 896C>G (p.Thr299Ser) missense variant of the F11 gene probably underlay the FⅪ deficiency in this pedigree. Above finding has enriched the mutational spectrum of the F11 gene and provided a basis for genetic counseling and prenatal diagnosis for this family.

OBJECTIVE: To explore the phenotypic and genotypic characteristics of a Chinese pedigree affected with Hereditary coagulation factor XI (FXI) deficiency. METHODS: A female patient with FXI deficiency and her family members (five individuals from three generations) who presented at Quanzhou First Hospital Affiliated to Fujian Medical University on September 19, 2024 due to diarrhea and fever were selected as study subjects. A retrospective study was conducted to collect the patients' clinical data. Peripheral venous blood samples were collected from the patient and her family members. Genomic DNA was extracted, followed by sequencing of all exons and flanking sequences of the F11 gene. Candidate variants were validated by Sanger sequencing of the family members, and their pathogenicity was classified according to the guidelines of the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Quanzhou First Hospital [Approval No.: Quanyi Lun (2024) K281]. RESULTS: The patient exhibited significantly prolonged activated partial thromboplastin time (APTT) of 80.9 seconds, while FXI activity (FXI:C) and FXI antigen (FXI:Ag) levels were extremely low (2% and 3%, respectively). Genetic analysis revealed that the proband harbored homozygous c.896C>G (p.Thr299Ser) missense variant in exon 9 of the F11 gene, for which her son was heterozygous. The variant was located in a highly conserved domain. Although Mutation Taster predicted it as a polymorphism, SIFT, PolyPhen-2, and LRT analyses suggested it to be likely pathogenic. Protein modeling indicated that the p.Thr299Ser variant may alter the hydrogen bonds between amino acids, thereby affecting the structure and function of the FXI protein. According to the ACMG guidelines, c.896C>G was rated as a likely pathogenic variant (PM1+PM2_Supporting+PP1_Strong+PP3+PP4). CONCLUSION The c.896C>G (p.Thr299Ser) missense variant of the F11 gene probably underlay the FXI deficiency in this pedigree. Above finding has enriched the mutational spectrum of the F11 gene and provided a basis for genetic counseling and prenatal diagnosis for this family.
Adult ; Female ; Humans ; Male ; Middle Aged ; China/ethnology* ; Factor XI/chemistry* ; Factor XI Deficiency/genetics* ; Homozygote ; Pedigree ; Retrospective Studies ; East Asian People/genetics*

Objective:To summarize the current status and research hotspots in volume management among patients with heart failure, and to predict future research trends.Methods:Literature related to volume management in heart failure patients published between January 1, 2004 and August 1, 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science Core Collection databases. CiteSpace software was used to perform visual analysis of publication volume, authors, institutions, countries, and keywords.Results:A total of 5 008 articles were retrieved, of which 145 were Chinese and 202 were English publications. The overall publication trend showed a steady increase over the past two decades. The most prolific author was Fudim (7 publications), the leading institution was Mayo Clinic (14 publications), and the country with the highest output was the United States (91 publications). Keyword co-occurrence, clustering, and burst detection analyses revealed that current research hotspots in both Chinese and English literature mainly focus on the management and control of volume overload, exploration of nursing strategies, and patient self-management and home-based rehabilitation. Emerging trends include out-of-hospital volume overload control and intelligent volume management technologies.Conclusions:Research on volume management in heart failure patients is evolving toward diversification and integration. Clinical interventions and standardized guidelines have gained increasing attention. Home-based volume management and overload control continue to be key areas of interest. In the future, the integration of artificial intelligence and the development of individualized home self-management programs will likely become important directions to improve the quality of life in patients with heart failure.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To summarize the current status and research hotspots in volume management among patients with heart failure, and to predict future research trends.Methods:Literature related to volume management in heart failure patients published between January 1, 2004 and August 1, 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science Core Collection databases. CiteSpace software was used to perform visual analysis of publication volume, authors, institutions, countries, and keywords.Results:A total of 5 008 articles were retrieved, of which 145 were Chinese and 202 were English publications. The overall publication trend showed a steady increase over the past two decades. The most prolific author was Fudim (7 publications), the leading institution was Mayo Clinic (14 publications), and the country with the highest output was the United States (91 publications). Keyword co-occurrence, clustering, and burst detection analyses revealed that current research hotspots in both Chinese and English literature mainly focus on the management and control of volume overload, exploration of nursing strategies, and patient self-management and home-based rehabilitation. Emerging trends include out-of-hospital volume overload control and intelligent volume management technologies.Conclusions:Research on volume management in heart failure patients is evolving toward diversification and integration. Clinical interventions and standardized guidelines have gained increasing attention. Home-based volume management and overload control continue to be key areas of interest. In the future, the integration of artificial intelligence and the development of individualized home self-management programs will likely become important directions to improve the quality of life in patients with heart failure.

Objective:To explore the phenotypic and genotypic characteristics of a Chinese pedigree affected with Hereditary coagulation factor Ⅺ (FⅪ) deficiency.Methods:A female patient with FⅪ deficiency and her family members (five individuals from three generations) who presented at Quanzhou First Hospital Affiliated to Fujian Medical University on September 19, 2024 due to diarrhea and fever were selected as study subjects. A retrospective study was conducted to collect the patients′ clinical data. Peripheral venous blood samples were collected from the patient and her family members. Genomic DNA was extracted, followed by sequencing of all exons and flanking sequences of the F11 gene. Candidate variants were validated by Sanger sequencing of the family members, and their pathogenicity was classified according to the guidelines of the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Quanzhou First Hospital [Approval No.: Quanyi Lun (2024) K281]. Results:The patient exhibited significantly prolonged activated partial thromboplastin time (APTT) of 80.9 seconds, while FⅪ activity (FⅪ: C) and FⅪ antigen (FⅪ: Ag) levels were extremely low (2% and 3%, respectively). Genetic analysis revealed that the proband harbored homozygous c. 896C>G (p.Thr299Ser) missense variant in exon 9 of the F11 gene, for which her son was heterozygous. The variant was located in a highly conserved domain. Although Mutation Taster predicted it as a polymorphism, SIFT, PolyPhen-2, and LRT analyses suggested it to be likely pathogenic. Protein modeling indicated that the p. Thr299Ser variant may alter the hydrogen bonds between amino acids, thereby affecting the structure and function of the FⅪ protein. According to the ACMG guidelines, c. 896C>G was rated as a likely pathogenic variant (PM1+ PM2_Supporting+ PP1_Strong+ PP3+ PP4). Conclusion:The c. 896C>G (p.Thr299Ser) missense variant of the F11 gene probably underlay the FⅪ deficiency in this pedigree. Above finding has enriched the mutational spectrum of the F11 gene and provided a basis for genetic counseling and prenatal diagnosis for this family.