Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Objective:To explore the optimal age cutoff for diagnosis and the prognosis of early-onset gastric cancer in young patients.Methods:Clinicopathological data of patients with gastric adenocarcinoma aged ≤45 years who had undergone radical gastrectomy in the Department of Gastric Surgery, Fudan University Shanghai Cancer Center from January 2013 to December 2018 were retrospectively collected. Patients with distant metastases, other malignant tumors, combined organ resection, gastric stump cancer, positive margin, and incomplete clinical or follow-up data were excluded. X-tile software analysis of the actual overall survival of the collected cases yielded an optimal cut-off of 32 years. Accordingly, the enrolled cases were divided into an early-onset young group (age ≤32 years) and young adult group (age >32 years). Clinicopathological characteristics, long-term survival, and postoperative recurrence were compared between the two groups. Univariate and multivariate analyses were performed using the Cox proportional hazards model to identify the factors affecting the prognosis of young patients with gastric cancer.Results:The study cohort comprised 462 patients, including 256 (55.4%) women, 419 (90.7%) with middle and lower gastric cancers, and 343 (74.2%) with poorly differentiated tumors. There were 101 patients in the early-onset young group and 361 in the young adult group. These groups did not differ significantly in terms of sex, body mass index, tumor location, tumor size, surgical procedure, neurovascular invasion, or tumor stage (all P>0.05). The proportion of patients with poorly differentiated tumors in the early-onset young group was significantly higher than that in the young adult group (89.1%[90/101] vs. 70.1%[253/361], χ 2=15.26, P<0.001). All study patients completed 5 years of follow-up, the median duration of which was 101 months (61-133 months). Death or tumor recurrence occurred in 151 patients (32.7%), in 118 of whom the sites of recurrence and metastasis could be identified, 38 in the early-onset young group and 80 in the young adult group. Fifty-five (46.6%) patients developed peritoneal metastases and 40 (33.9%) hematogenous metastases. In the early-onset young group, 20 patients developed peritoneal metastases, 11 hematogenous metastases, five distant lymph node metastases, and two local recurrence. In the young adult group, 35 patients developed peritoneal metastases, 29 hematogenous metastases, six local recurrences, and 10 distant lymph node metastases. The 5-year overall survival and disease-free survival rates were significantly higher in the young adult group than in the early-onset young group (73.7% vs. 57.4%, P=0.002 and 70.6% vs. 55.4%, P=0.004, respectively). Cox multivariate analysis showed that age >32 years (HR=0.63, 95%CI: 0.43-0.90, P=0.012) was an independent protective factor for overall survival, whereas later N stage (HR=1.67, 95%CI:1.09-2.57, P=0.018) was an independent risk factor for overall survival after surgery ( P<0.05). Age >32 years (HR=0.60, 95%CI: 0.41-0.86, P=0.006) was also an independent protective factor for disease-free survival, whereas later N stage was an independent risk factor (HR=1.69, 95%CI: 1.08-2.64, P=0.021). Conclusion:Young patients with early-onset gastric cancer aged ≤32 years have worse tumor differentiation and prognosis.

Objective:To explore the optimal age cutoff for diagnosis and the prognosis of early-onset gastric cancer in young patients.Methods:Clinicopathological data of patients with gastric adenocarcinoma aged ≤45 years who had undergone radical gastrectomy in the Department of Gastric Surgery, Fudan University Shanghai Cancer Center from January 2013 to December 2018 were retrospectively collected. Patients with distant metastases, other malignant tumors, combined organ resection, gastric stump cancer, positive margin, and incomplete clinical or follow-up data were excluded. X-tile software analysis of the actual overall survival of the collected cases yielded an optimal cut-off of 32 years. Accordingly, the enrolled cases were divided into an early-onset young group (age ≤32 years) and young adult group (age >32 years). Clinicopathological characteristics, long-term survival, and postoperative recurrence were compared between the two groups. Univariate and multivariate analyses were performed using the Cox proportional hazards model to identify the factors affecting the prognosis of young patients with gastric cancer.Results:The study cohort comprised 462 patients, including 256 (55.4%) women, 419 (90.7%) with middle and lower gastric cancers, and 343 (74.2%) with poorly differentiated tumors. There were 101 patients in the early-onset young group and 361 in the young adult group. These groups did not differ significantly in terms of sex, body mass index, tumor location, tumor size, surgical procedure, neurovascular invasion, or tumor stage (all P>0.05). The proportion of patients with poorly differentiated tumors in the early-onset young group was significantly higher than that in the young adult group (89.1%[90/101] vs. 70.1%[253/361], χ 2=15.26, P<0.001). All study patients completed 5 years of follow-up, the median duration of which was 101 months (61-133 months). Death or tumor recurrence occurred in 151 patients (32.7%), in 118 of whom the sites of recurrence and metastasis could be identified, 38 in the early-onset young group and 80 in the young adult group. Fifty-five (46.6%) patients developed peritoneal metastases and 40 (33.9%) hematogenous metastases. In the early-onset young group, 20 patients developed peritoneal metastases, 11 hematogenous metastases, five distant lymph node metastases, and two local recurrence. In the young adult group, 35 patients developed peritoneal metastases, 29 hematogenous metastases, six local recurrences, and 10 distant lymph node metastases. The 5-year overall survival and disease-free survival rates were significantly higher in the young adult group than in the early-onset young group (73.7% vs. 57.4%, P=0.002 and 70.6% vs. 55.4%, P=0.004, respectively). Cox multivariate analysis showed that age >32 years (HR=0.63, 95%CI: 0.43-0.90, P=0.012) was an independent protective factor for overall survival, whereas later N stage (HR=1.67, 95%CI:1.09-2.57, P=0.018) was an independent risk factor for overall survival after surgery ( P<0.05). Age >32 years (HR=0.60, 95%CI: 0.41-0.86, P=0.006) was also an independent protective factor for disease-free survival, whereas later N stage was an independent risk factor (HR=1.69, 95%CI: 1.08-2.64, P=0.021). Conclusion:Young patients with early-onset gastric cancer aged ≤32 years have worse tumor differentiation and prognosis.

Objective:To investigate effects of mesalazine(MS)on proliferation,apoptosis and inflammatory injury of cell model of ulcerative colitis(UC)induced by lipopolysaccharide(LPS),as well as transforming growth factor-β1(TGF-β1)/Smad signaling pathway effect in this study.Methods:Human colonic epithelial cells NCM-460 cultured in vitro were induced UC model by LPS,and divided into Con group(no treatment),LPS group(1 mg/L LPS),MS group(0.1,0.2,0.4 mg/L MS+1 mg/L LPS)and inhibitor group(10 μmol/L TGF-β1/Smad signaling pathway inhibitor LY2109761+0.2 mg/L MS+1 mg/L LPS).Cell morphology,proliferation,apoptosis and levels of inflammatory factors and TGF-β1/Smad pathway-related markers were examined by inverted microscope,EdU assay,Hoechst 33258 staining,ELISA and Western blot.Results:LPS treatment highly induced cell proliferation rate and Smad7 pro-tein level compared with Con group,while apoptotic cells,inflammatory factors TNF-α and IL-6,soluble interleukin-2 receptor(sIL-2R)release,as well as TGF-β1,p-Smad2,p-Smad3 protein expressions were increased;the above effects induced by LPS was reversed by MS in a dose-dependent manner(P<0.05).Compared with 0.2 mg/L MS group,NCM-460 cells proliferation rate and Smad7 expression were increased,while apoptotic cells,TNF-α and IL-6,sIL-2R releases,and TGF-β1,p-Smad2,p-Smad3 protein expressions were decreased(P<0.05).Conclusion:MS can attenuate LPS-induced apoptosis and inflammatory injury in NCM-460 cells,and this protection was possibly through suppressing TGF-β1/Smad signaling pathway.

Gallbladder polypoid lesions (GPLs) refer to any elevated lesion of the mucosal surface of the gallbladder wall, and the prevalence is estimated to be between 0.9% and 12.1%. GPLs include benign polyps and malignant polyps. Benign polyps are further classified as non-neoplastic polyps and neoplastic polyps. Cholesterol polyps are the most common benign polyps and adenocarcinoma is the main type of malignant polyp. Hepatitis B virus infection, liver function abnormalities, dyslipidemia, and obesity are the main risk factors for GPLs. Studies of biological mechanisms have focused on malignant gallbladder polyps, the development of which is regulated by hormone levels in vivo, gut microbiota, inflammation, oxidative stress, Salmonella typhimurium, and related molecules. Diagnostic modalities include chemical examination and imaging examination, with imaging examination currently being the mainstay. Treatment of patients with GPLs is based on the presence or absence of symptoms, age, size of the polyps, tendency of the polyp to increase, and risk factors for symptomatic malignancy to determine whether surgery should be performed.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.