Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Adaptive optics(AO)is a technology designed to enhance the performance of optical systems through real-time measurement and correction of optical aberrations. With continuous advancements in refractive surgery techniques and rising patient expectations for surgical outcomes, the precise implementation of personalized refractive corrections has become a critical focus. The integration of AO technology into refractive surgery provides novel technical support. Specifically, the adaptive optics vision simulator(VAO)facilitates accurate preoperative objective and subjective refraction by dynamically measuring and correcting ocular wavefront aberrations, thereby improving refractive efficiency. Additionally, it enables effective prediction of postoperative aberrations for personalized procedures, assists clinicians in making data-driven preoperative decisions, facilitates comparative analysis of different surgical techniques, and allows intuitive evaluation of postoperative visual quality. This review comprehensively examines the advances in VAO applications for refractive surgery and analyzes both its clinical advantages and technical limitations.

Objective: To analyze the clinical distribution and drug resistance trends of clinical isolates ofKlebsiella pneumoniaefrom a tertiary hospital in Henan Province from 2017 to 2021, and to provide recommendations for the rational use of antibiotics in the hospital. Methods: A retrospective study was conducted to collect and organize the drug sensitivity test results and clinical data of clinical isolates ofKlebsiella pneumoniaein the hospital from 2017 to 2021. The data was analyzed using WHO NET 5.6 and SPSS 26.0 software. Results: A total of 1 379 strains ofKlebsiella pneumoniaewere isolated in the hospital from 2017 to 2021, with an isolation rate of 17.87%. There was no significant difference in the isolation rates ofKlebsiella pneumoniaeover the entire five-year period.The top three sources of isolates were sputum(65.99%), secretion(12.98%), and urine(8.85%). The main departments for collecting isolates were the respiratory department(26.03%) and the ICU(24.58%), with the isolation rate in other departments being less than 5%. The drug sensitivity results showed that, except for the resistance rate of cefoperazone, the resistance rates of other antibacterial drugs showed statistically differences over the five years, generally showing a stable or decreasing trend. The carbapenem drugs imipenem and meropenem decreased from 33.1% and 33.5% in 2017 to 13.7% and 14.4% in 2021, respectively. In addition, the resistance rates of chloramphenicol and tetracycline class minocycline showed an increasing trend. Conclusion Klebsiella pneumoniaeis still the main pathogen isolated in the hospital, mainly in the respiratory department and ICU, with sputum, urine, and blood being the main specimens. The resistance rates have shown a stable or decreasing trend over the past five years, with a significant decrease in carbapenem resistance rates. However, attention should still be paid to the increasing resistance rates of chloramphenicol and minocycline. Clinically, antibiotics should be used rationally based on drug sensitivity results.

AIM: To assess the repeatability and agreement of higher-order aberration obtained by adaptive optics visual simulator(VAO)compared with OPD-Scan Ⅲ.METHODS: A cross-sectional study was conducted from August to September 2023, including a total of 204 patients(204 eyes)with myopia whose right eyes were measured. The examinations were performed by the same skilled examiner using both devices separately. The VAO device was used to measure higher order aberrations of orders 3 to 6 at a pupil diameter of 4.5 mm, while both the VAO and OPD-Scan Ⅲ devices were utilized to measure total higher-order aberration(tHOA), spherical aberration(SA), coma aberration(Coma), and trefoil aberration(Trefoil)of the entire eye at pupil diameters ranging from 3 to 6 mm. Furthermore, the repeatability of whole eye aberration measurements obtained with the VAO device was evaluated and the agreement of the two devices was assessed.RESULTS: The whole-eye higher-order aberrations measured by VAO demonstrated excellent repeatability(0.767≤ICC≤0.941, Sw<0.01 μm, TRT<0.1 μm). There was no statistically significant difference in Coma measured by VAO or OPD-Scan Ⅲ for pupil diameters ranging from 4 to 6 mm(P>0.05), while a statistically significant difference was observed in whole-eye tHOA of other pupil diameters(all P<0.05). The agreement of aberration measurements for each order between VAO and OPD-Scan Ⅲ for 3 mm pupil diameters, SA at 4 and 5 mm pupil diameter and Coma at 4 mm pupil diameter showed a 95% limit of agreement(LoA)<0.1, indicating good agreement; however, poor agreement was found for the remaining aberration measurements at different pupil diameters, with a 95%LoA>0.1, and there were significant differences in higher-order aberrations measured by two devices under a pupil diameter of 3 mm(r=0.218-0.317, P<0.01), 4 mm(r=0.406-0.672, P<0.01), 5 mm(r=0.538-0.839, P<0.01 and r=0.030-0.109, P>0.01)and 6 mm(r=0.369-0.766, P<0.01).CONCLUSION: The VAO demonstrates favorable repeatability when assessing whole-eye higher order aberration under pupil diameters of 3-6 mm. However, there is inadequate agreement and interchangeability in whole-eye higher order aberration at 3-6 mm pupil diameter between VAO and OPD-Scan Ⅲ for clinical purposes.

Objective:To evaluate the optical performance of two aspheric intraocular lenses (IOL) AcrySof IQ SN60WF and Proming A1-UV with identical negative spherical aberration values, using the optical bench OptiSpheric IOL R&D through an in vitro study. Methods:The optical performance of + 20.0 D blue-light filtering SN60WF and monofocal high-order aspheric non blue-light filtering A1-UV IOL was evaluated through cornea models with the spherical aberration of 0 μm (ISO-1) and + 0.28 μm (ISO-2) under apertures of 3.0 mm and 4.5 mm via the optical bench OptiSpheric IOL R&D.The modulation transfer function (MTF) and USAF 1951 resolution test chart were employed to measure the IOL with centering, decentration of 0.3, 0.5, 0.7, 0.9 and 1.1 mm, as well as tilt of 3°, 5°, 7°, 9° and 11°.The spectral transmittance of IOL was measured with the UV-3300 UV-VIS spectrophotometer.Results:Compared with the A1-UV IOL, the spectral transmittance of SN60WF for blue light with wavelengths of 400-500 nm was significantly reduced, which effectively reduced the passage of blue light.At an aperture of 3.0 mm, the MTF values at 100 lp/mm spatial frequency for the centered SN60WF and A1-UV were 0.576 and 0.598 under ISO-1 corneal measurement conditions, 0.564 and 0.563 under ISO-2 conditions.At an aperture of 4.5 mm, the MTF values were 0.238 and 0.404 under ISO-1 corneal measurement conditions, and 0.438 and 0.339 under ISO-2 conditions.The MTF values of A1-UV and SN60WF at 3.0 mm aperture and 100 lp/mm spatial frequency under ISO-1 corneal measurement conditions were larger than those under ISO-2 corneal measurement conditions.Under ISO-1 corneal measurement conditions with a 3.0 mm aperture, A1-UV had a better optical quality compared to SN60WF, whereas under ISO-2 corneal measurement conditions, the optical quality of both IOLs was similar.Under the 3.0 mm aperture, the MTF values of SN60WF and A1-UV at a decentration of 0.3 mm and 100 lp/mm spatial frequency were 0.414 and 0.571 under ISO-1 corneal measurement conditions, 0.438 and 0.512 under ISO-2 corneal measurement conditions, respectively.The MTF values of SN60WF and A1-UV at a tilt of 3° were 0.522 and 0.597 under ISO-1 corneal measurement conditions, and 0.532 and 0.531 under ISO-2 corneal measurement conditions.The MTF values and USAF resolution test chart of A1-UV had no significant change between the two corneal measurement conditions.When subjected to equal degrees of decentration or tilting, except for the ISO-1 corneal measurement conditions at a 4.5 mm aperture, the MTF values of A1-UV showed a gradual decline across various spatial frequencies compared to SN60WF.With the increase in aperture size, the impact of IOL decentration or tilting on MTF values and USAF 1951 resolution test chart became more notable for A1-UV relative to SN60WF.Conclusions:The SN60WF IOL effectively filters blue light within the wavelength range of 400-500 nm.However, when both IOL experience decentration greater than 0.3 mm or tilting beyond 3°, the optical quality of the IOL will decline.A1-UV has a distinct advantage over SN60WF in terms of resistance to both decentration and tilting-induced optical performance degradation in vitro.

In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.

Dengue fever is an acute mosquito-borne infectious disease caused by dengue virus and widely spread worldwide. Many factors, such as pathogens, vector organisms, climate, and social environment, affect its transmission and prevalence. The local dengue fever epidemic caused by imported cases in China shows a trend of increasing epidemic latitude and more widespread epidemic areas. However, the traditional monitoring and early warning models of dengue fever mainly focus on researching a single factor and a single area. Establishing a multi-factor forecast and early warning system is urgent to strengthen the early warning capability for the dengue fever epidemic. This paper mainly discusses the epidemic characteristics, the influencing factors, and the surveillance and early warning models of dengue fever in China to provide a reference for the effective prevention and control of dengue fever in China.

Objective:To analyze the epidemiological and clinical characteristics of respiratory syncytial virus (RSV) infection in children in Jiangsu Province from 2014 to 2023.Methods:The acute respiratory infection cases in children aged 0-14 years were selected from outpatient/emergency or inpatient departments in 2 surveillance sentinel hospitals, respectively, in Nanjing, Suzhou and Taizhou of Jiangsu from 1 July 2014 to 31 December 2023, and RSV nucleic acid test was conducted and the intensity of the RSV infection was accessed by WHO influenza epidemiological threshold method, and case information and clinical data were collected. χ2 test was used to compare the differences between groups, and the Bonferroni method was used for pairwise comparisons between groups. Results:In 4 946 cases of acute respiratory infections, the RSV positive rate was 8.21% (406/4 946), and the age M( Q1, Q3) of the cases was 1 (0, 3) years. The RSV positive rate was 10.92% (258/2 362) during 2014-2019 and 6.06% (118/1 948) during 2019-2023, the difference was significant ( χ2=31.74, P<0.001). RSV infection mainly occurred from October to March during 2014-2019, with the incidence peak in December and moderate or higher intensity. The seasonality of RSV infection was not obvious during 2019-2023, with low intensity. The RSV positive rate was highest in children in age group 0- years (17.85%, 151/846), and the positive rate declined gradually with age ( χ2=184.51, P<0.001). The RSV positive rate was higher in inpatient cases (9.84%, 244/2 480) than in outpatient/emergency cases (6.57%, 162/2 466) ( χ2=17.54, P<0.001). In the 155 RSV infection cases with complete clinical data, the clinical symptoms mainly included cough (99.35%, 154/155), fever (55.48%, 86/155), and shortness of breath (45.16%, 70/155). In the cases aged <6 months, the proportion of those with fever was low, but the proportion of those with shortness of breath, transferred to intensive care units, and receiving oxygen therapy were higher (all P<0.05). Children aged <6 months and those with underlying diseases were more likely to have severe RSV infection (all P<0.05). Conclusions:RSV infection in children in Jiangsu Province showed seasonal prevalence in winter from 2014 to 2019. Since 2020, the seasonal characteristics of the epidemic have changed, the epidemic period has been dispersed and the epidemic intensity has decreased. Infants <1 year old were at high risk for RSV infection, and those <6 months old and with underlying diseases might have severe infection.

In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.