Objective To investigate the epidemiological characteristics and control measures of dengue fever in Zhongshan City in 2024, so as to provide insights into optimization of dengue fever control strategies in the city. Methods Data pertaining to dengue fever cases in Zhongshan City in 2024 were collected from the Infectious Disease Reporting System of China Disease Prevention and Control Information System, and the epidemiological characteristics of the cases were analyzed using a descriptive statistical method. The density of Aedes albopictus mosquito was monitored across all 23 townships (subdistricts) using Breteau index (BI) and mosquito ovitrap index (MOI) at midmonth each month from March to December 2024. In addition, the climatic characteristics, case reporting patterns, and corresponding control measures were analyzed during different phases of dengue fever epidemics in Zhongshan in 2024. Furthermore, real-time quantitative reverse transcription PCR (RT-qPCR) assay was employed to serotype the dengue virus among local dengue fever cases with unknown sources of infections. The dengue virus envelope (E) gene was sequenced using Sanger sequencing among dengue fever cases without apparent epidemiological links. A phylogenetic tree was constructed using the neighbor-joining method to infer major transmission chains during the dengue fever epi demics. Results A total of 952 dengue fever cases were reported in Zhongshan City in 2024, including 879 local cases, 57 domestically imported cases from other regions, and 16 overseas imported cases, representing the largest outbreak in nearly two decades. The first local dengue fever case was reported on July 5, and the last one was detected on December 19, with all townships and subdistricts affected. Mosquito monitoring data indicated that both MOI and BI rose rapidly from March to May, and then remained at high levels with fluctuations, and began to decline in October. The dengue fever epidemic was categorized into five distinct phases in Zhongshan, including non-epidemic, pre-epidemic, early-epidemic, peak, and receding stages. During the pre-epidemic and early-epidemic phases, key measures included enhancing sensitivity of case detection, implementing isolation and treatment of hospitalized cases, and carrying out standardized vector control measures in affected communities. In the peak phase, the strategy shifted towards targeted mosquito control in key communities and clinical rescue and treatment emphasized on “preventing severe cases and deaths”. Among 481 local cases with unknown sources of infections, RT-qPCR assay revealed that 68.8% (331/481) were infected with dengue virus type I and 31.2% (150/481) with type II among local dengue fever cases in Zhongshan City in 2024. Phylogenetic analysis revealed two major transmission chains: one originating from imported cases within Guangdong Province around Zhongshan City, and another from cases imported from Malaysia. Late detection of local dengue fever cases contributed to widespread community outbreaks. Conclusions The 2024 dengue fever epidemic in Zhongshan City was of considerable scale, which was primarily driven by imported cases from overseas and surrounding regions, leading to local community outbreaks. The epidemic began in early July, increased rapidly during August and September, peaked in October, and subsequently declined, with a trend consistent with the average pattern observed in previous high-incidence years. By implementing differentiated control measures tailored to each phase of the epidemic, the local transmission of dengue fever was successfully contained in Zhongshan City in 2024.

Heart failure (HF) is a common end-stage clinical manifestation of cardiovascular diseases, imposing substantial health-related burdens worldwide. With its high mortality rates and poor long-term prognosis, there is a pressing need for novel therapies. SIRT1, a nicotinamide adenine dinucleotide (NAD⁺)-dependent deacetylase, has anti-cardiovascular aging properties and other cardioprotective effects, attracting much research attention in recent years. In addition, SIRT1 plays an important role in HF pathophysiology. This review summarized the roles of SIRT1 and its activators in HF, the changes of SIRT1 gene expression in cardiac tissues from animal models and HF patients, and the current status of clinical trials investigating SIRT1 activators as potential therapies for HF. This will provide new ideas for further exploration of pathological mechanisms and the development of clinical prevention strategies for HF.
Heart Failure/metabolism* ; Sirtuin 1/genetics* ; Humans ; Animals

The chemical constituents of sesquiterpenes from 95% ethanol extract of Aquilariae Lignum Resinatum were isolated and purified by various column chromatography techniques, including silica gel, Sephadex LH-20, octadecylsilyl(ODS), and semi-preparative high performance liquid chromatography(HPLC). Their planar structures and absolute configurations were elucidated by ultraviolet(UV) spectrometry, infrared(IR) spectroscopy, mass spectrometry(MS), nuclear magnetic resonance(NMR), electronic circular dichroism(ECD), and other techniques. Eight sesquiterpenoids were isolated and identified as(+)-(7R,10R)-selina-4,11-dien-12-dimethoxy-15-al(1),(+)-(7R,10R)-selina-4,11-diene-12,15-dial(2), agalleudesmanol B(3), aquisinenoid C(4), 12,15-dioxo-α-selinen(5), agarospiranic aldehyde B(6), neopetasane(7), and eremophila-7(11),9-dien-8-one(8). Compound 1 was a new compound, and it was the first time to find a dimethoxy substitution on the side chain of eudesmane-type sesquiterpene skeleton.
Sesquiterpenes/isolation & purification* ; Thymelaeaceae/chemistry* ; Molecular Structure ; Drugs, Chinese Herbal/isolation & purification* ; Magnetic Resonance Spectroscopy

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

ObjectiveTo establish a vaginal self-sampling HPV cervical cancer screening model in Hainan Province, to analyze the application of p16 protein detection in HPV positive and non-HPV16 /18 shunt screening. MethodsFrom January 2019 to September 2022, a total of 200 women from the targeted population was randomly selected for vaginal self-sampling HPV typing test to screen cervical cancer using randomized numeric table method, followed by cervical cytology sampling for cytology p16 protein detection. Postoperative pathological examination was used as the gold standard. Multivariate logistic regression analysis was used to analyze the influencing factors of HPV positive detection rate in cervical lesions, and the nomogram model was constructed simultaneously. The receiver operating characteristic(ROC) curve and calibration curve were used for evaluating the accuracy of the nomogram model. Differences in the distribution of self-sampled HPV-positive and HPV infected genotypes were recorded, and the application of p16 protein detection in HPV-positive and non-HPV16/18 shunt screening was analyzed. ResultsAged ≥40 years, BMI ≥28.00 kg·m^-2, number of sexual partners ≥2, frequency of sexual life ≥10 times·month^-1, bleeding from sexual intercourse, and age of first sexual intercourse <22 years were the risk factors for HPV positive of cervical lesions (all P<0.001). The results of ROC curve and calibration curve showed that the area under ROC curve (AUC) was 0.874 (95%CI: 0.823‒0.907, P<0.05), the sensitivity was 0.835, the specificity was 0.847, and the Youden index was 0.672, indicating a good fit of the model. Results of vaginal self-sampling HPV test showed that the positive rate of HPV was 86.50% (173/200). HPV high-risk infection types mainly included HPV16, 18, 31, 33, 35, 39, 45, 52, 56, 58, 59, 68, 73, and 82. Single HPV infection accounted for 95.95% (166/173), 2.89% (5/173) were infected with two types of HPV, and 1.16% (2/173) were infected with three or more types of HPV. Colposcopic pathologic diagnosis was used as the gold standard, and the results showed that the accuracy of p16 protein detection in the diagnosis of cervical cancer was 93.50% (187/200), with a sensitivity of 96.53% (167/173), and a specificity of 74.07% (20/27). The negative and positive predictive value were 76.92% (20/26) and 95.98% (167/174), respectively. The results of shunt screening showed that there were 80 cases infected with HPV16, 79 cases infected with HPV18 and 41 cases of non-HPV16/18, with a sensitivity of 90.91%, 90.32% and 86.67%, a specificity of 71.43%, 64.71% and 72.73%, a negative predictive value of 62.50%, 64.71% and 66.67%, a positive predictive value of 93.75%, 90.32% and 89.66%, and an accuracy of 87.50%, 84.81% and 82.93%, respectively. The specificity and accuracy of p16 positive screening for cervical cancer were significantly higher than that of HPV positive detection, but the false positive rate was significantly lower than that of HPV positive detection. The AUCs of HPV positive, p16 positive and combination of the two detection methods for cervical cancer were 0.603, 0.822 and 0.907, respectively. ConclusionVaginal self-sampling HPV testing is a widely accepted mode for cervical cancer screening. Cervical cytology p16 protein detection is important for self-sampled HPV positive and shunt screening of non-HPV16/18.

Objective:To analyze the changing trend of incidence and prevalence of pneumoconiosis globally, and provide scientific basis for the formulation of health policy.Methods:In June 2022, through the Global Health Data exchange (GHDx) query tool (http: //ghdx.healthdata.org/gbd-results-tool) , the pneumoconiosis incidence and prevalence data was downloaded and organized. Estimated annual percentage change (EAPC) and age-standardized rate (ASR) were used to estimate the trends of pneumoconiosis from 1990 to 2019. EAPC was estimated by linear regression model based on ASR.Results:The overall ASR of the incidence and prevalence of pneumoconiosis decreased from 1990 to 2019, and their EAPCs were-0.85% (95% CI: -1.11%--0.60%) and -0.78% (95% CI: -1.08%--0.49%) . Over the past 30 years, the incidence and prevalence of pneumoconiosis in all SDI areas showed decreasing trends, especially in high SDI areas, their EAPCs were -1.46% (95% CI: -1.76%--1.15%) and -1.99% (95% CI: -2.44%--1.53%) . 110 countries/areas showed increasing trends in age standardized incidence rate (ASIR) , with Iran and Georgia showing the most pronounced upward trend, their EAPCs were 5.32% (95% CI: 4.43%-6.22%) and 4.39% (95% CI: 3.81%-4.97%) . 125 countries/areas showed anincreasing trends in prevalence ASR, with Iran had the fastest rise in prevalence (EAPC=6.40%, 95% CI: 5.33%-7.49%) . Conclusion:Although decreasing trends in the burden of pneumoconiosis are observed globally from 1990 to 2019, but the burden of pneumoconiosis in low-and middle-income countries or regions are still heavy. We need more effective strategies to prevent and reduce the burden of pneumoconiosis.

Objective To investigate the effect of Anchusa italica Retz.extract on cough variant asthma(CVA)and its mechanism of action.Methods Forty-eight SD rats of each eight were randomly divided into blank group(equal amount of saline),model group(equal amount of saline),control group(250 mg·kg-1 prednisone acetate)and experimental-A1,-A5,-A7 groups(61.1 mg·kg-1 Anchusa italica Retz.extract A1,48.8 mg·kg-1 Anchusa italica Retz.extract A5,201.8 mg·kg-1 Anchusa italica Retz.extract A7),continuous gavage for 28 d;except for the blank group,the other groups were made with ovalbumin-complete Freund's adjuvant.The number of cough times of each rat was observed.The changes in the expression of Toll-like receptor 4(TLR4),myeloid differentiation factor(MyD88)and nuclear factor κB(NF-κB)proteins were observed in the lung tissue.Results The cough times in the blank group,model group,control group and experimental-A1,-A5,-A7 groups were 1.10±0.22,8.33±1.24,3.08±0.65,3.31±0.99,3.08±1.02 and 3.06±0.68;the relative expression levels of TLR4 protein were 0.61±0.01,0.84±0.04,0.66±0.02,0.64±0.04,0.64±0.03 and 0.69±0.02;the relative expression levels of MyD88 protein were 0.54±0.08,0.86±0.06,0.71±0.06,0.65±0.05,0.64±0.08 and 0.70±0.06;the relative expression levels of p-NF-κB protein were 0.48±0.11,0.94±0.06,0.80±0.08,0.68±0.04,0.68±0.06 and 0.78±0.09.Compared with the experimental-A1,-A5,-A7 groups,control group,normal group,the differences were statistically significant in the model group(all P＜0.05).Conclusion The extract of Anchusa Italica Retz.can inhibit the symptoms of CVA rats,and the mechanism may be related to the inhibition of TLR4/MyD88/NF-κB signaling pathway.

Objective:To analyze the changing trend of incidence and prevalence of pneumoconiosis globally, and provide scientific basis for the formulation of health policy.Methods:In June 2022, through the Global Health Data exchange (GHDx) query tool (http: //ghdx.healthdata.org/gbd-results-tool) , the pneumoconiosis incidence and prevalence data was downloaded and organized. Estimated annual percentage change (EAPC) and age-standardized rate (ASR) were used to estimate the trends of pneumoconiosis from 1990 to 2019. EAPC was estimated by linear regression model based on ASR.Results:The overall ASR of the incidence and prevalence of pneumoconiosis decreased from 1990 to 2019, and their EAPCs were-0.85% (95% CI: -1.11%--0.60%) and -0.78% (95% CI: -1.08%--0.49%) . Over the past 30 years, the incidence and prevalence of pneumoconiosis in all SDI areas showed decreasing trends, especially in high SDI areas, their EAPCs were -1.46% (95% CI: -1.76%--1.15%) and -1.99% (95% CI: -2.44%--1.53%) . 110 countries/areas showed increasing trends in age standardized incidence rate (ASIR) , with Iran and Georgia showing the most pronounced upward trend, their EAPCs were 5.32% (95% CI: 4.43%-6.22%) and 4.39% (95% CI: 3.81%-4.97%) . 125 countries/areas showed anincreasing trends in prevalence ASR, with Iran had the fastest rise in prevalence (EAPC=6.40%, 95% CI: 5.33%-7.49%) . Conclusion:Although decreasing trends in the burden of pneumoconiosis are observed globally from 1990 to 2019, but the burden of pneumoconiosis in low-and middle-income countries or regions are still heavy. We need more effective strategies to prevent and reduce the burden of pneumoconiosis.

Surgical operation is the main treatment of oral and maxillofacial tumors.Dysphagia is a common postoperative complication.Swal-lowing disorder can not only lead to mis-aspiration,malnutrition,aspiration pneumonia and other serious consequences,but also may cause psychological problems and social communication barriers,affecting the quality of life of the patients.At present,there is no systematic evalua-tion and rehabilitation management plan for the problem of swallowing disorder after oral and maxillofacial tumor surgery in China.Combining the characteristics of postoperative swallowing disorder in patients with oral and maxillofacial tumors,summarizing the clinical experience of ex-perts in the field of tumor and rehabilitation,reviewing and summarizing relevant literature at home and abroad,and through joint discussion and modification,a group of national experts reached this consensus including the core contents of the screening of swallowing disorders,the phased assessment of prognosis and complications,and the implementation plan of comprehensive management such as nutrition management,respiratory management,swallowing function recovery,psychology and nursing during rehabilitation treatment,in order to improve the evalua-tion and rehabilitation of swallowing disorder after oral and maxillofacial tumor surgery in clinic.

Background::The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to preimplantation genetic testing for aneuploidy (PGT-A) treatment. However, it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods::From February 2020 to May 2021, we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos, the clinical information of couples, and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment. Initially, we developed a novel deep learning model called the Attentive Multi-Focus Selection Network (AMSNet) to analyze time-lapse videos in real time and predict blastocyst formation. Building upon AMSNet, we integrated additional clinically predictive variables and created a second deep learning model, the Attentive Multi-Focus Video and Clinical Information Fusion Network (AMCFNet), to assess the euploidy status of embryos. The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements. The receiver operating characteristic curve (ROC) was used to evaluate the superiority of the model. Results::A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task, and 1422 qualified blastocysts received PGT-A ( n = 589) or PGT for chromosomal structural rearrangement (PGT-SR, n = 833) were enrolled for the euploidy assessment task in this study. The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy. The real-time accuracy for AMSNet to predict blastocyst formation reached above 70% on the day 2 of embryo culture, and then increased to 80% on the day 4 of embryo culture. Combing with 4 clinical features of couples, the AUC of AMCFNet with 7 focal points increased to 0.729 in blastocysts derived from couples with chromosomal rearrangement. Conclusion::Integrating seven focal raw time-lapse images of embryos and parental clinical information, AMCFNet model have the capability of assessing euploidy status in blastocysts derived from couples with chromosomal rearrangement.