Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To determine the expression and diagnostic value of peripheral blood lymphocytes and functional activation status in non-Hodgkin lymphoma with hemophagocytic lymphohistiocytosis (NHL-HLH) .Methods:We retrospectively analyzed clinical data from 30 newly diagnosed NHL-HLH patients admitted to Jiangsu Province Hospital from September 2022 to September 2023. We assessed peripheral blood lymphocytes and activation status by flow cytometry. Forty newly diagnosed patients with NHL who received treatment at our hospital during the same period and had lymphocyte and functional activation indexes were selected as the control group. The differences in relative and absolute lymphocyte counts and functional activation indexes between the two groups were compared. The optimal cutoff values for continuous variables were calculated from the receiver operating characteristic curve and logistic regression analysis was used to evaluate the risk factors in NHL patients with HLH.Results:A total of 30 NHL-HLH patients were evaluated, including 12 T-cell lymphoma and 18 B-cell lymphoma patients. Forty individuals were in the control group, which included 19 T-cell lymphoma and 21 B-cell lymphoma patients. The absolute counts of CD3 + T, CD4 + T, CD8 + T, and NK cells, along with the relative count of NK cells, were significantly lower in the HLH group compared with that in the control group (all P values<0.01) . The expression of CD38 and HLA-DR on CD8 + T-cell activated subgroups was significantly higher in the NHL-HLH group compared with that in the control group (CD8 +CD38 +/CD8 + T expression median: 57.4% vs 21.5%, P<0.001; CD8 +CD38 +/CD8 + T expression median: 49.7% vs 33.5%, P=0.028, respectively) . In addition, CD28 expression on CD4 + and CD8 + T cells was significantly higher in NHL-HLH patients ( P<0.01) . ROC curve and multivariate logistic regression analyses revealed that absolute NK cell count ≤72.0 cells/μl, CD4 +CD28 +/CD4 + T >94.2%, and CD8 +CD28 +/CD8 + T >38.4% were risk factors for predicting the occurrence of NHL-HLH patients. The sensitivity and specificity of the regression model were 86.7% and 86.1%, respectively, with an area under the curve of 0.94 ( P<0.001) . Conclusions:In NHL patients with HLH, there was a significant reduction in the absolute number of peripheral blood lymphocyte subpopulations, whereas T-cell function was notably activated. Specifically, absolute counts of NK cells ≤72.0 cells/μl, CD4 +CD28 +/CD4 + T >94.2%, and CD8 +CD28 +/CD8 + T >38.4% were identified as risk factors for predicting the development of NHL-HLH patients. This will assist in early clinical diagnosis and treatment.

Objective:To investigate the features and influencing factors of language in children with various types of speech disorders.Methods:A case-control study was carried out, 262 children with speech disorder had been diagnosed at the language-speech clinic of the Center of Children′s Healthcare, Children′s Hospital, Capital Institute of Pediatrics from January 2021 to November 2023, the children with speech sound disorder as the speech sound disorder group, the children with developmental stuttering as the stuttering group. There were 100 typically-developed children who underwent physical checkups at the Center of Healthcare during the same period as the healthy group. All children experienced a standardized evaluation of language with diagnostic receptive and expressive assessment of mandarin‐comprehensive(DREAM-C) and questionnaire, One-way ANOVA and LSD test were conducted to compare the differences in overall language, receptive language, expressive language, semantics, and syntax scores among 3 groups of children. According to the results of DREAM-C, the children with speech disorder were divided into language normal group and language delay group. Chi‐square test and multivariate Logistic regression were implemented to analyze the association between the linguistic development of children with speech disorder and potential influential factors.Results:There were 145 children in the speech sound disorder group, including 110 males and 35 females respectively, with an age of (5.9±1.0) years; 117 children in the stuttering group, including 91 males and 26 females, with an age of (5.8±1.0) years; 100 children in the healthy group, including 75 males and 25 females, with an age of (5.7±1.2) years. The variations in overall language, expressive language, and syntax scores among 3 groups of children were statistically significant (92±18 vs.96±11 vs. 98±11, 81±18 vs. 84±14 vs. 88±13, 87±16 vs. 89±11 vs. 91±10, F=5.46, 4.69, 3.68, all P<0.05). Pairwise comparison revealed that the speech sound disorder group had lower scores in overall language, expressive language, and syntactic compared to the healthy group, and the differences were statistically significant (all P<0.01) and the overall language score was lower than that of children with stuttering ( P<0.05). In terms of overall language and expressive language, there was a statistically significant difference in the incidence of language delay among the three groups of children (15.9% (23/145) vs. 20.5% (24/117) vs. 7.0% (7/100), 46.2% (67/145) vs. 39.3% (46/117) vs. 26.0% (26/100); χ2=7.93, 10.28; both P<0.05). In terms of overall language, the stuttering group took up the highest proportion. In terms of expressive language, the speech sound disorder group accounted for the highest amount. The incidence of language delay in children with speech disorder was 44.3% (116/262). Non-parent-child reading, daily screen time ≥1 hour and screen exposure before 1.5 years of age are risk factors for the development of language in children with speech disorder ( OR=1.87, 2.18, 2.01; 95% CI 1.07-3.27, 1.23-3.86, 1.17-3.45; all P<0.01). Negative family history are protective factors for the progress of language ability ( OR=0.37, 95% CI 0.17-0.81, P<0.05). Conclusions:Children with speech disorder tend to have easy access to language delay, especially in expressive language and syntax. The occurrence of language delay in children with speech disorder is tightly connected with factors such as the family medical history, parent-child reading, screen time, etc. Attention should be paid to the development of language in children who suffer from speech disorder.

BACKGROUND:In recent years,the development of liver organoids has made it a hot spot in the field of international liver disease research,but there is still no article on the bibliometric analysis of liver organoids. OBJECTIVE:To explore the hot trends in liver organoids in the last 20 years based on bibliometrics and visualization analysis. METHODS:We searched the articles about liver organoids in the Web of Science Core Collection from January 1,2002 to November 12,2022.Origin,Office,and CiteSpace software were used for bibliometrics and visualization analysis.We statistically analyzed the number of annually published articles,countries,institutions,authors,journals,and keywords of the articles by generating charts. RESULTS AND CONCLUSION:The number of articles,citation frequency,institutions and personnel involved in the research about liver organoids showed an overall upward trend in the last 20 years,indicating that the field was growing rapidly and attention was increasing.The USA had published the most papers and had the strongest influence in this field.Although it had invested a lot of time and energy,the number of papers published by a single research institution in the USA was not the highest among many research institutions.China was second only to the USA in the number of publications,with the Chinese Academy of Sciences and Fudan University leading the list.Utrecht University in the Netherlands was the institution with the most publications.Clevers H was the author with the highest number of articles.The article with the highest co-citation frequency was"Long-term culture of genome-stable bipotent stem cells from adult human liver".The main fields of study for liver organoids were Molecular Science,Biology,and Immunology.The most frequently occurring keywords were stem cell,in vitro,and culture.The research hotspots in the liver organoids field were mainly focused on in vitro stem cell three-dimensional culture,differentiation and gene expression.

Objective To investigate the mechanism underlying the neuroprotective effect of linarin(LIN)against microglia activation-mediated inflammation and neuronal apoptosis following spinal cord injury(SCI).Methods Fifty C57BL/6J mice(8-10 weeks old)were randomized to receive sham operation,SCI and linarin treatment at 12.5,25,and 50 mg/kg following SCI(n=10).Locomotor function recovery of the SCI mice was assessed using the Basso Mouse Scale,inclined plane test,and footprint analysis,and spinal cord tissue damage and myelination were evaluated using HE and LFB staining.Nissl staining,immunofluorescence assay and Western blotting were used to observe surviving anterior horn motor neurons in injured spinal cord tissue.In cultured BV2 cells,the effects of linarin against lipopolysaccharide(LPS)-induced microglia activation,inflammatory factor release and signaling pathway changes were assessed with immunofluorescence staining,Western blotting,RT-qPCR,and ELISA.In a BV2 and HT22 cell co-culture system,Western blotting was performed to examine the effect of linarin against HT22 cell apoptosis mediated by LPS-induced microglia activation.Results Linarin treatment significantly improved locomotor function(P<0.05),reduced spinal cord damage area,increased spinal cord myelination,and increased the number of motor neurons in the anterior horn of the SCI mice(P<0.05).In both SCI mice and cultured BV2 cells,linarin effectively inhibited glial cell activation and suppressed the release of iNOS,COX-2,TNF-α,IL-6,and IL-1β,resulting also in reduced neuronal apoptosis in SCI mice(P<0.05).Western blotting suggested that linarin-induced microglial activation inhibition was mediated by inhibition of the TLR4/NF-κB signaling pathway.In the cell co-culture experiments,linarin treatment significantly decreased inflammation-mediated apoptosis of HT22 cells(P<0.05).Conclusion The neuroprotective effect of linarin is medicated by inhibition of microglia activation via suppressing the TLR4/NF-κB signaling pathway,which mitigates neural inflammation and reduce neuronal apoptosis to enhance motor function of the SCI mice.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

Objective To investigate the effect and mechanism of naringin on acute lung injury(ALI)in septic mice.Methods The acute lung injury mouse model of sepsis was established by intraperitoneal injection of 10 mg·kg-1 lipopolysaccharide.The mice were randomly divided into control group(injected with equal amounts of saline and phosphate buffer),model group(mouse model of sepsis acute lung injury),naringin group(50 mg·kg-1 naringin injected intraperitoneally 1 hour prior to lipopolysaccharide modeling)and BzATP group(50 mg·kg-1 naringin+5 mg·kg-1 BzATP injected intraperitoneally 1 hour prior to lipopolysaccharide modeling).After modeling,lung tissues were taken 24 h later,lung coefficients were calculated;lung tissue interleukin(-ILβ-1 β),interleukin-10(IL-10)and tumor necrosis factor-α(TNF-α)levels were detected by enzyme-linked immunosorbent assay;the expression of purinergic 2X7 receptor(P2X7R),nucleotide-binding oligomerization structural domain-like receptor protein 3(NLRP3)and nuclear factor-κB(NF-κB)proteins were detected by Western blotting.Results The lung coefficients in the control,model,naringin and BzATP groups were(6.26±0.31),(9.09±1.02),(7.02±0.45)and(8.79±0.55)mg·g-1;the contents of TNF-α were(56.41±0.35),(174.68±1.58),(85.23±1.68)and(162.97±3.42)pg·mL-1;the contents of IL-1β were(44.18±7.37),(119.91±17.16),(85.41±2.14)and(104.57±3.39)pg·mL-1;the contents of IL-10 were(50.82±2.89),(28.31±1.86),(42.82±1.98)and(25.19±1.69)pg·mL-1;P2X7 protein expression levels were 0.45±0.16,1.33±0.10,0.64±0.09 and 1.05±0.18;NF-κB protein expression levels were 0.38±0.19,1.29±0.09,0.57±0.11 and 0.92±0.07;NLRP3 protein expression levels were 0.72±0.14,1.28±0.23,0.75±0.09 and 1.27±0.23.Compared with the model group in the control group and naringin group,compared with the naringin group in the BzATP group,the differences of the above indexes were statistically significant(P＜0.01,P＜0.05).Conclusion Naringin attenuates acute lung injury in septic mice by inhibiting the P2X7 receptor-mediated NF-κB/NLRP3 signaling pathway.

Objective:To analyze the clinical characteristics of dengue fever patients, summarize the course and characteristics of the disease, and analyze the risk factors that affect the condition.Methods:Retrospective collection of general information, clinical symptoms, medical history, laboratory tests, prognosis and other clinical data of dengue fever patients that admitted to Jinghong First People's Hospital and severe dengue fever patients at People's Hospital of Xishuangbanna Dai Autonomous Prefecture from June to December 2023 was conducted using a case report form (CRF). According to the diagnostic criteria of the World Health Organization (WHO), patients were divided into dengue fever group, dengue fever with warning signs group, and severe dengue fever group. The differences in clinical data between different groups of patients were analyzed and compared. Binary multiple factor Logistic regression analysis was used to explore the risk factors affecting the severity of dengue fever in patients. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of prediction models constructed for various risk factors for severe dengue fever. Subgroup analysis was performed on the prognosis of severe dengue fever patients, and the differences in clinical data between two groups of patients with different prognoses were compared. Binary multivariate Logistic regression analysis was used to explore the risk factors affecting the prognosis of severe dengue fever patients. ROC curve was drawn to analyze the predictive value of prediction models constructed for various risk factors on the prognosis of severe dengue fever patients.Results:A total of 2 264 patients were included, including 499 cases in the dengue fever group, 1 379 cases in the dengue fever with warning signs group, and 386 in the severe dengue fever group (43 deaths and 343 survivors). The most common symptom of dengue fever patients was fever (94.70%), followed by muscle soreness (70.54%), headache (63.12%), fatigue (58.92%), and chills (46.02%). Compared with the dengue fever group and the dengue fever with warning signs group, the ratio of thalassemia and the levels of cardiac troponin (cTnI, cTnT), MB isoenzyme of creatine kinase (CK-MB), and myoglobin were significantly increased in patients with severe dengue fever group, albumin (Alb) was significantly decreased in patients with severe dengue fever group. The levels of cTnT and myoglobin in patients with dengue fever with warning signs group were significantly higher than those in the dengue fever group, and the level of Alb in patients with dengue fever with warning signs group was significantly lower than that in the dengue fever group, the differences were statistically significant (all P < 0.05). Binary multivariate Logistic regression analysis showed that thalassemia [odds ratio ( OR) = 6.214, 95% confidence interval (95% CI) was 2.337-16.524, P < 0.001], Alb ≤ 36 g/L ( OR = 6.297, 95% CI was 4.270-9.286, P < 0.001), and cTnT levels ( OR = 1.008, 95% CI was 1.002-1.015, P = 0.016) were risk factors for severe dengue fever. ROC curve analysis showed that the area under the ROC curve (AUC) for predicting severe dengue fever based on the prediction models constructed for the above risk factors was 0.856, with the best predictive value of 0.067, sensitivity of 67.1%, and specificity of 99.4%. In the subgroup analysis of patients with severe dengue fever, compared with the survival group, the levels of hematocrit (HCT), cTnT, and CK-MB in the death group patients were significantly increased, while the level of Alb was significantly decreased, and the differences were statistically significant. Binary multivariate Logistic regression analysis showed that Alb ( OR = 0.839, 95% CI was 0.755-0.932, P = 0.001), HCT ( OR = 1.086, 95% CI was 1.010-1.168, P = 0.025), elevated troponin level ( OR = 10.119, 95% CI was 2.596-39.440, P < 0.001), and CK-MB ( OR = 1.081, 95% CI was 1.032-1.133, P < 0.001) were risk factors for mortality in patients with severe dengue fever. ROC curve analysis showed that the AUC for predicting death in severe dengue fever patients based on the prediction models constructed for the above risk factors was 0.881, with the best predictive value of 0.113, sensitivity of 75.0%, and specificity of 88.9%. Conclusion:Thalassemia, Alb≤36 g/L, and cTnT level are risk factors for severe dengue fever, while HCT level, Alb level, CK-MB level, and elevated troponin level are risk factors for death in patients with severe dengue fever.