ObjectiveTo investigate the disease burden of non-alcoholic fatty liver disease （NAFLD） among young people in East Asian countries （including China， North Korea， Japan， Mongolia， and South Korea） in 1990—2023， and to provide a basis for formulating and adjusting the prevention and treatment strategies for NAFLD. MethodsRelated disease burden data of NAFLD among the young people in these five East Asian countries were collected from the Global Burden of Disease 2023 （GBD 2023） database， including incidence rate， prevalence rate， and disability-adjusted life years （DALY）， and the young people were divided into groups based on country， sex， and age. Estimated annual percentage change （EAPC） was used to comprehensively evaluate the changing trend of the disease burden of NAFLD among young people from 1990 to 2023， and the Autoregressive Integrated Moving Average model was used to predict the disease burden of NAFLD among the young people in China. ResultsIn 2023， the standardized incidence rates of NAFLD among the young people in China， North Korea， Japan， Mongolia， and South Korea were 926.57/100 000， 805.83/100 000， 412.66/100 000， 747.66/100 000， and 534.08/100 000， respectively； the standardized prevalence rates of NAFLD among the young people in China， North Korea， Japan， Mongolia， and South Korea were 16 817.94/100 000， 14 500.98/100 000， 8 534.40/100 000， 13 705.28/100 000， and 11 587.93/100 000， respectively； the standardized DALY rates of NAFLD among the young people in China， North Korea， Japan， Mongolia， and South Korea were 6.34/100 000， 10.18/100 000， 5.23/100 000， 47.93/100 000， and 6.76/100 000， respectively. From 1990 to 2023， there was a tendency of increase in the standardized incidence rate of NAFLD among the young people in China， North Korea， Japan， Mongolia， and South Korea， with an EAPC of 0.87%， 0.52%， 0.26%， 0.48%， and 0.87%， respectively； there was also a tendency of increase in the standardized prevalence rate of NAFLD among the young people in China， North Korea， Japan， Mongolia， and South Korea， with an EAPC of 0.99%， 0.49%， 0.24%， 0.59%， and 0.93%， respectively； conversely， there was a tendency of reduction in the standardized DALY rate of NAFLD among the young people in China， Japan， Mongolia， and South Korea， with an EAPC of -2.21%， -2.01%， -0.37%， and -4.62%， respectively， while the standardized DALY rate of NAFLD among the young people in North Korea remained relatively stable， with an EAPC of -0.01%. The subgroup analysis based on sex showed that there was a significant difference in the disease burden of NAFLD between the young people with different sexes in the five East Asian countries， and the subgroup analysis based on age showed that the incidence rate of NAFLD in young people decreased with the increase in age， while the prevalence rate and DALY rate of NAFLD increased with age. In addition， the standardized incidence rate and standardized prevalence rate of NAFLD among Chinese young people would further increase in the future， while there would be a reduction in standardized DALY rate in the future. ConclusionThere is a significant difference in the disease burden of NAFLD in young people across different countries， sexes， and age groups. In the future， targeted prevention and treatment measures should be developed based on the distribution characteristics of the disease burden of NAFLD， in order to effectively reduce the disease burden of NAFLD among young people.

The unique characteristics of the deep space environment, microgravity, cosmic radiation, and extreme temperature fluctuations, are emerging as major driving forces for pharmaceutical innovation. These factors provide new avenues for optimizing drug formulations, improving crystal structure quality, and accelerating the discovery of therapeutic targets. Advances in deep space research not only help overcome critical bottlenecks in terrestrial drug development but also promote progress in structure-based drug design and deepen understanding of cellular stress-response mechanisms. Current progress in space-based pharmaceutical research primarily includes the study of disease mechanisms under microgravity, protein crystallization in microgravity, and drug development utilizing deep space radiation and resources. However, the operational complexity, high costs, and limited data reproducibility of space experiments remain key challenges hindering widespread application. Looking ahead, with the integration of automation, artificial intelligence analysis, and on-orbit manufacturing, deep space drug development is expected to achieve greater scalability and precision, opening a new frontier in biopharmaceutical science.
Drug Design ; Drug Development/methods* ; Humans ; Weightlessness ; Space Flight ; Artificial Intelligence ; Extraterrestrial Environment

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

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*

OBJECTIVES: We aimed to compare the apical sealing properties of three endodontic sealers, namely, C-Root SP (C-R), iRoot SP, and GuttaFlow Bioseal (GFB) in vitro. METHODS: Eighty-two single-rooted premolars and anterior teeth were prepared by using M3 machine with nickel-titanium file and randomly divided into six experimental groups (n=12) and two control groups (n=5). Group A1: single-cone technique (SC)+C-R; group B1: SC+iRoot SP; group C1: SC+GFB; group A2: single-cone with ultrasonic activation (SU)+C-R; group B2: SU+iRoot SP; group C2: SU +GFB; group D: positive control group, and group E: negative control group. Dye penetration length and lateral root canal filling in each group were measured by dye penetration test. A scanning electron microscope (SEM) was used to observe the interface between gutta pertscha, root canal sealer, and dentin wall. Dye penetration length was measured and analyzed by Kruskal-Wallis test, and data on lateral root canal filling were evaluated using Chi-square. RESULTS: The dye penetration length in group A1 was lower than that in groups C1 and A2 (P<0.05) but was not significantly different from the other groups (P>0.05). Lateral root canal filling was not significantly different among all groups (P>0.05). SEM showed that GFB was slightly better than C-R and iRoot SP in binding to gutta pertcha and dentin wall. CONCLUSIONS GFB, C-R, and iRoot SP demonstrate excellent apical sealing ability. Under the conditions tested in this study, SU did not yield significantly improve the apical sealing ability of the three root canal sealers.
Root Canal Filling Materials/chemistry* ; Humans ; Gutta-Percha ; Microscopy, Electron, Scanning ; Root Canal Obturation/methods* ; Ceramics ; Dimethylpolysiloxanes ; Drug Combinations

OBJECTIVES: This study aimed to evaluate the filling effects of three biomaterial root canal sealers [iRoot SP, C-Root SP, and GuttaFlow Bioseal (GFB)] by using Micro-CT. METHODS: Sixty single-canal detached premolars were selected. After crown amputation, their uniform working length was set at 12 mm and prepared to a 06 taper 30# with M3 nickel-titanium file. The samples were randomly divided into six groups with different sealers and obturation techniques: iRoot SP+single-cone technique (SC), C-Root SP+SC, GFB+SC, iRoot SP+single cone-mediated ultrasonic technique (SU), C-Root SP+SU, and GFB+SU. Samples were scanned by Micro-CT, and the total and segmented filling rates were calculated with Mimics 22.0 software after 3D reconstruction. RESULTS: The overall filling rate of the three biomaterial root canal sealers was higher than 90%. The overall and coronal third and middle third segment filling rate of groups iRoot SP+SC, C-Root SP+SC was higher than that of group GFB+SC (P<0.01), with no significant difference between groups iRoot SP+SC and C-Root SP+SC (P>0.05). On the apical third, no significant difference was found among each group (P>0.05). The overall and segment filling rate of groups iRoot SP+SU and C-Root SP+SU was higher than that of GFB+SU (P<0.01), with no significant difference between groups iRoot SP+SU and C-Root SP+SU (P>0.05). The filling rate of the apical 1/3 of group C-Root+SC was lower than that of group C-Root+SU (P<0.01), and the filling rate of the coronal 1/3 of group GFB+SC was higher than that in the GFB+SU (P<0.01). Nevertheless, no significant difference was found in other filling rate of two obturation techniques (P>0.05). CONCLUSIONS The overall filling rate of the three biomaterial root canal sealers using SC and SU are satisfactory. iRoot SP and C-Root SP have similar filling rates, which are significantly higher than that of GFB. C-Root SP combined with SU technique can improve the filling quality of the root apical.
Root Canal Filling Materials ; X-Ray Microtomography ; Humans ; Root Canal Obturation/methods* ; Gutta-Percha ; Dimethylpolysiloxanes ; Drug Combinations ; Dental Pulp Cavity/diagnostic imaging* ; Bicuspid

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis