This paper summarizes professor XUAN Guowei's clinical experience in treating melasma from the perspective of kidney deficiency with vigorous fire， and scorching the collaterals to form stasis. It is proposed that the core pathogenesis of melasma is kidney deficiency with vigorous fire， along with the scorching of collaterals to form stasis， for which the the core therapeutic principle is enriching the kidney and subduing fire， combined with invigorating blood and dissolving stasis. In clinical practice， the self-formulated Xiaoban Decoction （消斑汤） is utilized as the foundational formula， complemented by external therapies such as acupuncture and moxibustion， acupoint injection， and the external application of Chinese herbal medicine. Furthermore， emphasis is placed on daily care and regulation， including strict sun protection， maintaining a joyful mood， ensuring adequate sleep， and following a healthy diet. This paper aims to provide a clinical reference for the treatment of melasma with traditional Chinese medicine.

Objective:To investigate the effects of metformin on esophageal squamous cell carcinoma cell growth, migration and angiogenesis by regulating the expression of ALKBH3.Methods:Human esophageal cancer TE-1 cells were treated with different concentrations (0, 0.5, 1.0, 2.0, 4.0, 8.0 mmol/L) of metformin, and they were divided into a blank control group, low- (0.5 mmol/L), medium- (1.0 mmol/L), and high- (2.0 mmol/L) concentration metformin groups, a metformin (2.0 mmol/L) +pcDNA-NC group, and a metformin (2.0 mmol/L) +pcDNA-ALKBH3 group. The cell viability was determined by the CCK-8 method. The cell proliferation ability was detected by the clone formation assay. The cell migration and invasion abilities were examined by the Transwell assay. The cell apoptosis was detected by flow cytometry. The tube formation ability of cells was detected by the angiogenesis assay. A xenograft tumor model was constructed using 4- to 6-week-old male BALB/c thymus-less nude mice, which were divided into a model control group, a metformin group, a metformin+pcDNA-NC group, and a metformin+pcDNA-ALKBH3 group using a random number table method, and with six in each group. And the volume and weight of the tumor were measured. The protein expression levels of apoptosis-related proteins Bcl-2, Bax, ALKBH3 and vascular endothelial growth factor A (VEGF-A) were detected by Western blotting. The expression of CD31 protein was detected by immunohistochemistry.Results:After treating TE-1 cells with 0, 0.5, 1.0, 2.0, 4.0, and 8.0 mmol/L metformin for 48 hours, the cell viability was (100.00±0.00) %, (90.31±5.23) %, (81.25±8.65) %, (63.52±6.80) %, (54.64±5.35) %, and (31.48±4.21) %, respectively, with a statistically significant difference ( F=98.11, P<0.001). There were statistically significant differences in cell viability between 0.5, 1.0, 2.0, 4.0, 8.0 mmol/L and 0 mmol/L (all P<0.05). The IC 50 of metformin for TE-1 cells was 4.46 mmol/L. The numbers of colony formations of TE-1 cells in the blank control group, low-, medium-, and high-concentration metformin groups, metformin+pcDNA-NC group, and metformin+pcDNA-ALKBH3 group were 153.15±13.55, 134.80±11.62, 116.24±10.43, 93.17±8.85, 89.39±8.46, 110.26±7.21, respectively, with a statistically significant difference ( F=34.28, P<0.001); the numbers of colony formations of TE-1 cells in the metformin groups at different concentrations decreased significantly with the increase in metformin concentration (both P<0.05); compared with the metformin+pcDNA-NC group, the number of colony formations of cells in the metformin+pcDNA-ALKBH3 group increased ( P<0.05). The numbers of migration of TE-1 cells of 6 groups were 152.13±13.40, 133.85±10.72, 115.28±8.64, 91.16±7.89, 85.39±7.23, 116.85±8.36, the numbers of invasion were 135.22±10.77, 112.07±9.53, 86.30±7.45, 69.53±6.74, 65.81±5.65, 79.80±6.32, respectively, with statistically significant differences ( F=41.35, P<0.001; F=69.06, P<0.001); the numbers of migrated and invaded cells in the metformin groups at different concentrations decreased significantly with the increase in metformin concentration (all P<0.05); compared with the metformin+pcDNA-NC group, the numbers of migrated and invaded cells in the metformin+pcDNA-ALKBH3 group increased significantly (both P<0.05). The apoptosis rates of TE-1 cells in 6 groups were (3.22±1.13) %, (13.82±1.90) %, (22.67±2.53) %, (29.18±3.24) %, (26.84±2.75) %, and (16.36±1.63) %, respectively, with a statistically significant difference ( F=103.66, P<0.001); the apoptosis rates of cells in the metformin groups at different concentrations gradually increased with the increase in metformin concentration (both P<0.05); compared with the metformin+pcDNA-NC group, the apoptosis rate of cells in the metformin+pcDNA-ALKBH3 group was relatively lower ( P<0.05). The tubular structure of cells in blank control group was intact, and there were different degrees of damage to the tubular structure of cells in the low-, medium-, high- concentration metformin groups, the degree of damage to the tubular structure of cells in the metformin+pcDNA-ALKBH3 group was reduced. The numbers of cellular tubular structures of TE-1 cells in the 6 groups were 38.35±3.20, 27.15±2.64, 15.92±3.14, 7.39±1.50, 8.61±1.37, and 29.33±4.20, respectively, with a statistically significant difference ( F=113.92, P<0.001); the number of cellular tubular structures in the low-, medium-, and high- concentration metformin groups gradually decreased (both P<0.05); the number of cellular tubular structures in the metformin+pcDNA-ALKBH3 group was more than that in the metformin+pcDNA-NC group ( P<0.05). There were statistically significant differences in the protein expressions of Bcl-2, Bax, ALKBH3, and VEGF-A in TE-1 cells among 6 groups ( F=56.36, P<0.001; F=57.26, P<0.001; F=159.30, P<0.001; F=132.89, P<0.001); compared with the blank control group, the protein expressions of Bcl-2, ALKBH3, and VEGF-A in the metformin groups at different concentrations decreased, while the protein expression of Bax increased (all P<0.05); compared with the metformin+pcDNA-NC group, the protein expressions of Bcl-2, ALKBH3, and VEGF-A in the metformin+pcDNA-ALKBH3 group increased, and the expression level of Bax decreased (all P<0.05). The weights of tumors in the model control group, metformin group, metformin+pcDNA-NC group, and metformin+pcDNA-ALKBH3 group were (1.16±0.12), (0.46±0.05), (0.50±0.06), (1.19±0.14) g, the volumes of tumors were (878.36±108.93), (413.59±50.23), (439.78±51.39), (793.75±96.98) mm 3, with statistically significant differences ( F=96.61, P<0.001; F=51.90, P<0.001); the weight of tumors were lower and the volume of tumors were smaller in the metformin group than those in the model control group (both P<0.05), the weight of tumors were higher and the volume of tumors were bigger in the metformin+pcDNA-ALKBH3 group than those in the metformin group and the metformin+pcDNA-NC group (all P<0.05). CD31 was mainly distributed in the cytoplasm and cell membrane of tumor cells. There were statistically significant differences in the positive rates of CD31 and the protein expression levels of VEGF-A in transplanted tumor tissues among 4 groups ( F=7.12, P=0.002; F=48.81, P<0.001); the positive rate of CD31 and the protein expression level of VEGF-A in the metformin group were lower than those in the model control group; the positive rate of CD31 and the protein expression level of VEGF-A in the metformin+pcDNA-ALKBH3 group were higher than those in the metformin group and the metformin+pcDNA-NC group (all P<0.05) . Conclusions:Metformin may inhibit the proliferation, migration, and tumor angiogenesis of esophageal squamous cell carcinoma by reducing ALKBH3 expression.

Obesity and overweight remain major global public health challenges.In this paper,we examine current applications of digital nutrition technologies in weight management using the scoping review framework of Arksey and O'Malley.Visual recognition technologies have evolved from early-stage food image recognition into more advanced systems,although the vast diversity of food types continues to pose challenges for accuracy and generalizability.The combination of wearable devices and non-wearable sensors has increased the diversity of collected data and improved user comfort.Data integration and analysis tools,such as digital virtual twins,support personalized interventions by integrating multidimensional data.In addition,emerging applications have demonstrated encouraging clinical outcomes.However,existing studies have limitations,such as small sample sizes,high levels of information bias,and low evidence quality.Barriers,such as limited accessibility and high initial costs,further constrain the scalability of digital nutrition tools.Future studies should focus on expanding sample sizes,improving population diversity,and developing effective assessment methods and adjustments for specific target populations.Privacy and data security concerns must also be addressed to ensure safe implementation.Overall,digital nutrition technologies offer a promising approach to weight management,but continuous efforts in research and cost reduction are needed to fully realize their potential in weight management and to promote health for all.

Objective::To examine the impact of hypertensive disorders of pregnancy (HDP) on offspring metabolomics.Methods::We searched five databases: PubMed, Ovid Embase, MEDLINE, Web of Science, and China National Knowledge Infrastructure, and included studies that reported metabolomics among human offspring born to HDP-complicated pregnancies.Results::Database search yielded 4054 articles, and after full-text screening, ten observational studies met inclusion criteria. Half of the studies had a sample size of less than 100 and were all observational studies in preeclampsia (PE) and gestational hypertension.Neonates were the most focused group in all included studies. Offspring born to HDP-complicated pregnancies exhibited statistically significant variations in blood metabolomics compared to their counterparts, characterized by amino acids, lipids, carnitine, and others (e.g., 1α,25-(OH) 2-D). Most studies reported a significant increase in differential metabolites of offspring born to HDP-complicated pregnancies. Four studies ( n = 1109) measured lipids-related metabolites, and all consistently showed that offspring born to PE-complicated pregnancies had significantly higher concentrations than non-PE exposed offspring. Conclusion::The existing evidence suggests an intergenerational effect of HDP on offspring metabolomics. Long-term follow-up studies are needed to advance the health effects of related adverse health outcomes and inform the prevention of offspring’s health.

Malnutrition is one of the main complications for gastric cancer patients, with an incidence rate as high as 65% to 85%, severely affecting their quality of life and survival rate. This issue is particularly prominent during out-of-hospital treatment, as patients often lack nutritional knowledge and do not receive continuous nutritional management. Therefore, ensuring that patients continue to receive effective nutritional management after discharge is crucial. This study explored three primary models of nutritional management for gastric cancer patients after discharge: the multidisciplinary team collaboration model, three-level nutritional management model, and the Internet+ model. It also analyzed the shortcomings and challenges these models face in practice, with the aim of providing a reference for clinical work.

Objective To investigate the relationship between sleep disorders and coronary heart disease through big data combined with Mendelian randomization analysis.Methods Data from 2005 to 2018 National Health and Nutrition Examination Survey in the United States were utilized.Logistic regression analysis was employed to evaluate the association between sleep disorders and coronary heart disease,while analyzing relevant influencing factors.A two-sample Mendelian randomization approach was implemented using Genome-Wide Association Studies to establish causal relationships.Results Logistic regression analysis demonstrated a significant association between sleep disorders and coronary heart disease(P＜0.001),with the neutrophil-to-lymphocyte ratio serving as a mediating factor in this relationship(P＜0.001).Mendelian randomization analysis revealed a positive correlation between sleep disorders and coronary heart disease(OR=1.030,95％CI:1.01-1.04).Conclusion Sleep disorders can increase the risk of coronary heart disease by activating inflammatory factors.

With the advancement of China's healthcare reform,enhancing the capacity of primary healthcare services has become a pivotal task.Colorectal cancer,one of the most prevalent malignancies in China,highlights the critical importance of early screening and diagnosis to improve patient survival rates.This study,guided by the principles of Party building and Xi Jinping Thought on Socialism with Chinese Characteristics,examines the implementation and outcomes of a rural outreach program focused on colorectal cancer screening and diagnostic technologies.By promoting the dissemination of colorectal cancer screening initiatives,the paper aims to provide empirical evidence to support the deepening of primary-care services,foster high-quality ad-vancement of grassroots health services,and align with the national Healthy China Initiative,thereby more effectively safeguarding population health.

Objective To evaluate the value of molecular markers of thrombine-antithrombin complex(TAT),soluble thrombomodulin(sTM),tissue-plasminogen activator-inhibitor complex(t-PAIC)in the early diagnosis of disseminated intravascular coagulation(DIC)in sepsis patients.Methods Thirty patients diagnosed with DIC secondary to hemoinfect-induced sepsis were selected as the DIC group in the intensive care unit(ICU)of the First Hospital of Lanzhou University from July to September 2023.Thirty patients with sepsis caused by bloodstream infection without DIC were randomly selected as the sepsis group.General data and procalcitonin(PCT),platelet count(PLT),white blood cell count(WBC),the levels of traditional clotting indexes activated partial thromboplastin time(APTT),prothrombin time(PT),fibrinogen(Fib),D-dimer and new clotting indexes(TM,TAT,t-PAIC)were collected.The indicators with statistical significance in univariate analysis were included in multivariate Logistic regression analysis to screen the independent risk factors for DIC in sepsis patients.Receiver operator characteristic curve(ROC curve)was drawn to analyze the diagnostic value of TM,TAT,t-PAIC and their combination in the occurrence of DIC in sepsis patients.Results A total of 60 patients with sepsis were included.There was no significant difference in gender,age,PCT,PLT and WBC between the DIC group and the sepsis group.In terms of traditional coagulation indexes,the PT level in sepsis DIC group was significantly lower than that in sepsis group,and the Fib level was significantly higher than that in sepsis group(both P<0.05).There were no statistically significant differences in APTT and D-dimer levels between the two groups.In terms of new coagulation indexes,TAT,sTM and t-PAIC levels in sepsis DIC group were significantly higher than those in sepsis group(all P<0.05).Multivariate Logistic regression analysis showed that TAT,sTM were independent risk factors for DIC in sepsis patients(both P<0.05).ROC curve analysis showed that TAT,sTM,t-PAIC combined detection had certain value in diagnosis of DIC in sepsis patients,area under the curve(AUC)was 0.735;when the cut-off value was 0.73,the sensitivity was 100.0%and specificity was 43.3%.Conclusion TAT,sTM and t-PAIC could help to predict DIC in sepsis.

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral