By selecting stable and detectable drug prototypes or metabolites in sewage samples, near real-time detection of disease conditions can be achieved. This study selected oseltamivir carboxylate, the primary metabolite of first-line antiviral oseltamivir, as a biomarker. Based on the concentration of oseltamivir carboxylate in wastewater, the consumption and usage rate of oseltamivir were calculated by reverse engineering. Quarterly sampling was conducted at 46 urban sewage treatment plants in representative 5 cities in the middle and lower reaches of the Yangtze River, from November 2022 to December 2023. The concentration range of oseltamivir acid in sewage samples is 1.270−1 279 ng/L, the daily mass load of oseltamivir per 1 000 inhabitants in the surveyed cities ranged from 9.560 to 544.7 mg/d, and the average utilization rate is 0.06‰−3.63‰. The research results indicate that in March 2023, Wuxi City experienced a spring influenza peak, while Bengbu, Tongling, Suzhou, and Changzhou City experienced a small summer influenza peak in May. In November and December 2023, Wuxi, Changzhou, and Bengbu City experienced a winter influenza peak, the results are consistent with the official statistics of the National Center for Disease Control and Prevention and the National Influenza Center, which reflect the influenza epidemic situation in southern cities. The integration of this methodology with clinical diagnostic rates could provide near real-time data support for future influenza prevention and control strategies.

BACKGROUND: Most studies have evaluated disability-adjusted life years (DALYs) of colorectal cancer (CRC) patients based on a set of generic disability weights (DWs). This study aimed to apply local CRC-stage-specific DWs to estimate the burden of DALYs for CRC (CRC-DALYs) in populations in China and consider the influence of local screening coverage of CRC. METHODS: A prevalence-based model was constructed using data from various sources. Years lived with disability (YLDs) were estimated mainly via cumulative prevalence data (based on CRC incidence rates, population numbers, and survival rates), stage-specific proportions of CRC, and DWs of the local population. Years of life lost (YLLs) were calculated based on the CRC mortality rates and standard life expectancies. CRC incidence and mortality rates for the years 2020, 2025, and 2030 were estimated by joinpoint regression, and the corresponding DALYs were predicted. The main assumption was made for CRC screening coverage. Sensitivity analyses were used to assess the impact of population, DWs, and coverage. RESULTS: In 2017, among the Chinese population, the estimated number of CRC-DALYs was 4,303,314 (11.9% for YLDs). If CRC screening coverage rate in China (2.3%) remains unchanged, the overall DALYs in 2030 are predicted to increase by 37.2% (45.1% of those aged ≥65 years). More optimistically, the DALYs would then decrease by 0.7% in 2030 (from 5,902,454 to 5,860,200) if the coverage could be increased to 25.0%. A sensitivity analysis revealed that using local DWs would change the base-case values by 5.7%. CONCLUSIONS The estimated CRC-DALYs in China using population-specific DWs were considerably lower (with a higher percentage of YLDs) than the global burden of disease (GBD) estimates (5,865,004, of 4.6% for YLDs), suggesting the impact extent of applying local parameters. Sustainable scale-up CRC screening needs to be in place to moderate the growth trend of CRC-DALYs in China.
Humans ; Colorectal Neoplasms/diagnosis* ; China/epidemiology* ; Disability-Adjusted Life Years ; Male ; Prevalence ; Female ; Middle Aged ; Aged ; Early Detection of Cancer ; Quality-Adjusted Life Years ; Adult ; Incidence

Due to the difficulty of overcoming the abnormal epidermal barriers and addressing S. aureus infections without disrupting indigenous skin microbiota, effective treatment of bacterial infection atopic dermatitis (AD) remains a significant clinical challenge. Skin microbiota-derived extracellular vesicles (EVs) shows protentional for skin disease treatment, but the lack of antimicrobial activity and limited skin penetration hamper their application in bacterial infection AD treatment. Here, we developed novel nanoantibiotics by loading Lev into S. epidermidis-derived EVs (Lev@SE-EVs), with supreme antimicrobial activity, regulating epidermal immune responses and enhanced epidermal barrier functionality. The nanoantibiotics were further integrated into hyaluronic acid-based microneedle (MN) for efficient transdermal delivery of therapeutic agents and effectively treating bacterial infection in AD. Upon insertion into the skin, the rapidly released Lev@SE-EVs from MN are uptake by S. aureus in a selective manner, fibroblasts, and surrounding immune cells to exert therapeutic effects in the infected dermal layer, resulting in mitigated skin inflammation, reduced S. aureus burden and increased dermis repair. Notably, Lev@SE-EVs induce IL-17A⁺ CD8⁺ T-cell accumulation in the skin in an unrelated inflammation manner, which may represent heterologous protection. This EVs-integrated MN assisted Lev@SE-EVs to alleviate skin inflammation, repair skin, and provide an effective and safe therapeutic approach for bacterial infection AD treatment.

Diabetic kidney disease （DKD） is one of the most common and harmful microvascular complications of diabetes， and there is currently a lack of effective treatment methods to delay its progression. Traditional Chinese medicine has a long history of treating DKD and offers unique advantages. As a traditional Chinese medicine， Rehmannia glutinosa has shown potential in the treatment of DKD in clinical and modern pharmacological research. After integrating relevant research on the pharmacological mechanism of R. glutinosa in treating DKD， it has been found that the main active components of R. glutinosa， such as catalpol， rehmannioside D， aucubin， verbascoside， salidroside， echinacoside and R. glutinosa polysaccharides， along with its extracts and compounds （such as Liuwei dihuang pills， Shenqi dihuang decoction， and Shenqi pills）， can exert multiple effects by intervening in various signaling pathways， including advanced glycation end product （AGE）/receptor for AGE， nuclear factor kappa-B （NF- κB）， and transforming growth factor-β1 （TGF-β1）/Smads. These effects include ameliorating metabolic disorders and oxidative stress in DKD， inhibiting the processes of renal inflammation and fibrosis， regulating cell death modalities including apoptosis and ferroptosis， as well as autophagy， and reshaping the gut microbiota. Consequently， it can improve physical and chemical indices and renal tissue pathological damage， thus delaying the progression of DKD.

Objective To analyze the current state,research hotspots,and development trends of electroencephalography(EEG)applied in the field of autism spectrum disorder(ASD). Methods Relevant literature from the Web of Science core collection database from January,2014 to January,2024 were retrieved and analyzed using CiteSpace 6.2.R4. Results A total of 1 509 articles were included,with an increasing trend in publication volume over the years.The United States ranked highest in both publication volume and node centrality.The primary journals in this field were concentrated in clinical medicine,immunology and psychology.Keyword co-occurrence and clustering indicated that research primarily focused on the correlation between core symptoms of ASD and EEG indicators,differential diagnosis of ASD and its comorbidities,brain functional connectivity,and assessment of rehabilitation efficacy.Keywords bursted in the past three years mainly included artificial intelligence and machine learning. Conclusion The researches in EEG technology in the field of ASD is generally increasing.Future researches may focus on exploring the brain network mechanisms of ASD using EEG combined with multimodal neuroimaging,and machine learning technologies.

Objective:To explore the role of arginine metabolism in the inflammatory response to influenza A virus (FluA) infection.Methods:Eighteen-month-old mice were infected with FluA via nasal drip, with samples collected on the 6th day post-infection. The concentration of cytokines was determined by the Luminex multifactor assay, while the metabolites in bronchoalveolar lavage fluid (BALF) were analyzed using targeted metabolomic method. Correlation analysis was employed to examine the correlation between cytokines and metabolites. Macrophages were infected with FluA at a multiplicity of infection (MOI) of 1 and cultured with different concentrations of arginine for 24 h. The mRNA and protein expression levels of interleukin (IL)-1β, IL-6, tumor necrosis factor α (TNF-α) and IL-10 were detected by real time fluorescence quantitative RT-PCR (qRT-PCR) and Cytometric Bead Array (CBA).Results:In comparison to the control group, the levels of surfactant protein D (SP-D), TNF-α, monocyte chemotactic protein-1 (MCP-1), IL-1α, IL-6, IL-10, recombinant S100 calcium binding protein (S100) A9, interferon inducible protein 10 (IP-10), macrophage inflammatory protein-1α (MIP-1α), matrix metalloprotein-9 (MMP-9), and Complement Factor D in BALF of FluA infection exhibited a significant elevation. The concentrations of arginine, aspartate, citrulline, glutamic acid, ornithine, proline, creatine, and sarcosine in arginine metabolism were up-regulated, which was correlated with most of elevated cytokine levels. The supplementation of arginine after FluA infection significantly decreased the levels of IL-1β, IL-6, and TNF-α, but increased the level of IL-10 in macrophages.Conclusions:Arginine reduces the inflammatory response induced by FluA infection in macrophages, suggesting that it may be a potential intervention target for severe pulmonary inflammation following FluA infection.

Objective To study the possibility of salivary microbiota model to diagnose laryngopharyngeal re-flux(LPR).Methods A case-control study was applied to enroll 34 patients as case group who showed significant efficacy after 8 weeks of proton pump inhibitor treatment from February 2022 to November 2022.And 47 healthy volunteers matched by age,gender and body mass index with the case group were enrolled as the control group.Their salivary samples were collected before medication,and the salivary microbiota was detected by 16S rDNA se-quencing.Bioinformatics analysis was conducted on the sequencing results to compare species differences at the ge-nus level.A total of 24 patients and 33 cases in the control group were selected as train set and the rest as test set.Random forest method was used to classify data and ten fold cross validation was applied to select the optimal bacte-rial genus combination to construct a diagnostic model.The probability of disease(POD)index was calculated and receiver operating characteristic curve(ROC)was used to evaluate the diagnostic model in diagnosis of LPR.SPSS 18.0 software was utilized for statistical analysis.Results Compared with the control group,there was a statistical difference in the relative abundance of 22 genera in saliva between the case group and the control group(P＜0.05).A diagnostic model consisting of 6 genera was constructed,namely Lactobacillus,Novosphingobium,Bacillus,Pseudoalteromonas,Ralstonia and Phocaeicola.The area under the ROC curve of the test set was 0.843,the sensi-tivity of the diagnostic model was 60.0％,the specificity was 87.71％,and the Kappa value was 0.470.Conclusion The bacterial combination diagnostic model constructed from saliva microbiota based on microbiome and machine learning can effectively distinguish LPR patients from healthy individuals,which has potential clinical application value.

Objective:To investigate the effect of modified Devine technique on the concealed penis in children and the 3-year follow-up outcomes.Methods:Eighty children with concealed penis who underwent treatment at Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine between January 2015 and December 2018 were retrospectively included in this study. These children were categorized into two groups: a control group ( n = 39) and a study group ( n = 41), based on their surgical strategies. The control group underwent traditional Devine surgery, and the study group underwent modified Devine surgery. The surgical effects, surgical indicators, the length of the penis, complications, and 3-year follow-up outcomes were compared between the two groups. Results:The overall response rate in the study group was 95.12% (39/41), which was significantly higher than the 79.49% (31/39) in the control group ( χ2 = 4.47, P < 0.05). The operative time, blood loss during surgery, and the length of hospital stay in the study group were (40.58 ± 5.54) minutes, (20.43 ± 4.38) mL, and (6.75 ± 0.34) days, respectively. All these measures were shorter than those in the control group ( t = 2.95, 2.32, 4.83, all P < 0.05). At 12 weeks post-surgery, the length of the penis in both groups increased significantly compared with respective pre-surgery measurements ( P < 0.05). Notably, the lengths of the penis in the study group were (4.18 ± 0.57) cm, which were significantly longer compared with those in the control group ( t = 3.14, P < 0.05). Moreover, the incidence of complications in the study group was significantly lower than that in the control group [19.51% (8/41) vs. 43.59% (17/39), χ2 = 5.39, P < 0.05]. During the 3-year follow-up, six cases in the control group developed penis retraction due to poor root fixation, while two cases exhibited poor appearance due to obesity, although their penile body development was considered acceptable. All remaining children in the control group and those in the study group had full penis exposure, a satisfactory appearance, and no retraction. Conclusion:The modified Devine technique is effective in the treatment of children with concealed penises. It features a short operative time, minimal blood loss during surgery, restoration of the penis shape, and reduced complications. Consequently, children can be discharged as soon as possible.