Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

BACKGROUND:In recent years,the application of exosomes of periodontal ligament stem cells in periodontal tissue regeneration engineering has been widely studied,but the effect of exosomes on periodontal ligament stem cells derived from inflammatory environment is still unclear.OBJECTIVE:To investigate the effects of exosomes secreted by periodontal ligament stem cells from healthy and inflammatory environments on the proliferation and differentiation of periodontal ligament stem cells from inflammatory environments.METHODS:Human periodontal ligament stem cells from healthy and inflammatory tissues were isolated and cultured by enzyme digestion method.Exosomes were extracted from two kinds of periodontal ligament stem cells using ultracentrifugation.Passage 3 periodontal ligament stem cells derived from inflammatory tissue were selected and cultured in three groups.Cells in the blank group were cultured routinely.The healthy exosome group was added with exosomes secreted by peripheral ligament stem cells derived from healthy tissue.The inflammatory exosome group was added with exosomes secreted by human periodontal ligament stem cells derived from inflammatory tissue.Cell proliferation and cloning were detected.The expression of alkaline phosphatase,the formation of mineralized nodules,and the expression of mRNA and protein of genes related to osteogenesis were detected under osteogenic differentiation.RESULTS AND CONCLUSION:(1) CCK-8 assay and clonal formation test showed that compared with the blank group,two kinds of exosomes could promote the proliferation and colony formation of periodontal ligament stem cells from inflammatory tissue (P<0.05),and the effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(2) Alkaline phosphatase and alizarin red staining showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase and the formation of mineralized nodules in periodontal ligament stem cells from inflammatory tissue,and the promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group.RT-PCR and western blot assay showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase,RUNX2,and type Ⅰ collagen mRNA and protein in periodontal ligament stem cells from inflammatory tissue (P<0.05).The promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(3) The results showed that exosomes secreted by human periodontal ligament stem cells could promote the proliferation and osteogenic differentiation of periodontal ligament stem cells derived from inflammatory environments,and the promoting effect of exosomes secreted by human periodontal ligament stem cells derived from healthy tissues was better than that from human periodontal ligament stem cells derived from inflammatory tissues.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

Chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association. Plants leverage these signals to distinguish between pathogens and beneficial microbes, dynamically modulate immune responses, and secrete exudates to recruit a beneficial microbiome, while microbes in turn influence plant nutrient acquisition and stress resilience. Such bidirectional chemical dialogues underpin nutrient cycling, co-evolution, microbiome assembly, and plant resistance. However, knowledge gaps persist regarding validating the key molecules involved in plant-microbe interactions. Interpreting chemical communication requires multi-omics integration to predict key information, genome editing and click chemistry to verify the function of biomolecules, and artificial intelligence (AI) models to improve resolution and accuracy. This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
Microbiota/physiology* ; Plants/microbiology* ; Artificial Intelligence ; Ecosystem

Objective:To investigate the clinical efficacy and safety of needle-free and needle-based injections of recombinant human interferon (IFN) -α2a in the treatment of palmoplantar warts.Methods:Patients aged 6 to 75 years with palmoplantar warts were prospectively enrolled from the Department of Dermatology, Zhongda Hospital, Southeast University between March and September 2023, and baseline data were collected. The patients were randomly and equally divided into a needle-free injection group and a needle-based injection group by using a random number table method, and received needle-free and needle-based injections of recombinant human IFN-α2a once every 2 to 3 weeks, respectively, with a maximum of 4 treatment sessions. Efficacy was assessed based on changes in wart size and skin lines under a dermoscope. Pain degrees and adverse reactions were recorded, and patients were followed up for 6 months after the end of treatment. Chi-square test was used to compare the cure rates, recurrence rates, and incidence rates of adverse reactions between the two groups. Logistic regression analysis was employed to identify factors related to the clearance of palmoplantar warts.Results:A total of 160 patients with palmoplantar warts were included, with 80 patients in each group. In the needle-free injection group, there were 45 females (56.2%) and 35 males (43.8%) ; their ages ( M[ Q1, Q3]) were 27 (23, 40) years, and the duration of disease ( M[ Q1, Q3]) was 12 (3, 24) months; warts were located on the hands in 12 cases (15.0%), on the feet in 60 cases (75.0%), and on both sites in 8 cases (10.0%) ; warts measuring ≤ 1 cm in diameter were observed in 71 cases (88.8%), and those measuring > 1 cm were observed in 9 cases (11.3%). In the needle-based injection group, there were 37 females (46.2%) and 43 males (53.8%) ; their ages were 28 (22, 39) years, and the duration of disease was 6 (2, 12) months; warts were located on the hands in 23 cases (28.7%), on the feet in 55 cases (68.8%), and on both sites in 2 cases (2.5%) ; warts measuring ≤ 1 cm in diameter were observed in 67 cases (83.8%), and those measuring > 1 cm in diameter were observed in 13 cases (16.3%). There were no significant differences in gender distribution, age, wart diameters, prior treatment status, or number of warts between the two groups (all P > 0.05). The duration of disease was longer in the needle-free injection group than in the needle-based injection group ( P = 0.041), and the dose of interferon was lower in the needle-free injection group than in the needle-based injection group ( P < 0.001). After treatment, 44 patients (55.0%) were cured in the needle-free injection group, and 39 (48.8%) in the needle-based injection group, with no significant difference in the cure rates between the two groups ( χ2 = 0.63, P = 0.429). Among patients with multiple warts, 54.8% (23/42) were cured in the needle-free injection group, and 47.4% (18/38) in the needle-based injection group, with no significant difference in cure rates between the two groups ( χ2 = 1.28, P = 0.509). The most common adverse reaction was fever or flu-like symptoms (186 instances), which resolved spontaneously in 141 instances and resolved after treatment with oral ibuprofen in 45 instances; the incidence rate of flu-like symptoms was significantly lower in the needle-free injection group (57 instances, 21.6%) than in the needle-based injection group (129 instances, 53.3%; χ2 = 54.63, P < 0.001). The pain score was significantly lower in the needle-free injection group (3.65 ± 1.25 points) than in the needle-based injection group (5.16 ± 1.17 points, t = -7.90, P < 0.001). The logistic regression analysis showed that the duration of disease, lesion sites, patient age, and previous treatment history had no impact on the efficacy in either the needle-free injection group or the needle-based injection group (all P > 0.05) . Conclusions:The efficacy of needle-free and needle-based injections of interferon was similar in the treatment of palmoplantar warts, whereas needle-free injections resulted in less pain and a lower incidence of interferon-related adverse reactions. None of the duration of disease, lesion sites, patient age, or prior treatment status showed significant impact on the efficacy in the two groups.

AIM: To investigate the association between HOXA1 and FOXF2 gene variants and genetic susceptibility in multigenerational families with exotropia, and to elucidate the molecular genetic etiological mechanisms of exotropia.METHODS:A total of 10 multigenerational families with a definitive history of exotropia were recruited from September 2023 to February 2025, comprising 165 members(87 exotropia patients and 78 normal controls). Detailed ophthalmological examinations were performed, family pedigrees were constructed, peripheral blood samples were collected, genomic DNA was extracted, and PCR amplification followed by Sanger sequencing were used to detect exons and flanking sequences of the HOXA1 and FOXF2 genes. Identified variants were subjected to pathogenicity classification and association analyses.RESULTS:Among the 10 families, 5 variant sites in HOXA1(c.218G>A, c.385C>T, c.496A>G, c.652T>C, c.874C>T)and 4 in FOXF2(c.102C>T, c.344G>A, c.576T>C, c.892A>G)were identified. The HOXA1 c.496A>G variant showed statistically significant differences between carrier and noncarrier in exotropia angle, exotropia type, stereoscopic vision, and parallax(all P<0.05). The age of onset of FOXF2 gene c.344G>A mutation carrier group was younger than that of the non-carrier group(t=3.55, P=0.004).CONCLUSION:HOXA1 and FOXF2 gene variants are significantly associated with genetic susceptibility to exotropia, particularly influencing age of onset and deviation angle, offering novel targets for molecular diagnosis and precision treatment of exotropia.

Objective: To analyze the influencing factors of aggressive behaviors in high school students, rank the importance of relevant variables with visual presentation, so as to provide new references for developing intervention strategies. Methods: In December 2024, a convenience sampling method was used to select 5 330 students from 5 high schools in Wuhan for an online questionnaire survey. The survey included the Buss-Perry Aggression Questionnaire (BPAQ), Interaction Anxiety Scale (IAS), Emotion Regulation Ability Scale, Inventory of Parent and Peer Attachment (IPPA), and a self designed general information questionnaire. Variables were screened using LASSO regression, followed by multivariate Logistic regression analysis. The Random Forest model was then employed to rank and visualize variable importance. Results: Univariate analysis and LASSO regression results indicated that gender, emotion regulation capability, paternal attachment quality, maternal attachment quality, maternal parenting style, paternal parenting style, parenting consistency, monthly household income per capita, school climate, relationship with classmates, interaction anxiety, and academic ranking were all significant variables (all P <0.01). Multivariate Logistic regression analysis identified the following as influencing factors of aggressive behaviors in high school students: emotional management ability ( OR=0.38, 95%CI =0.34-0.43), gender ( OR=0.83, 95%CI =0.75-0.93), mother attachment quality ( OR=0.89, 95%CI = 0.74 -1.07), father attachment quality ( OR=0.76, 95%CI = 0.66- 0.87), interaction anxiousness ( OR=1.58, 95%CI =1.40- 1.78 ), consistency of parenting styles of parents ( OR=1.40, 95%CI =1.21-1.62), school atmosphere ( OR=1.50, 95%CI =1.14-1.98), academic performance ranking (upper middle: OR=0.76, 95%CI =0.61-0.93; middle: OR=0.70, 95%CI =0.57-0.86) were the influencing factors of aggressive behavior in high school students (all P <0.05). The results of Random Forest showed that emotional management ability was the most important factor affecting aggressive behavior in high school students. Conclusion Emotion regulation capability is identified as the core predictor of adolescent aggressive behaviors, which can significantly reduce the incidence of aggressive behaviors through enhanced emotion management.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.