Delineation of the bacterial composition in exogenous endophthalmitis using 16S rDNA sequencing.

PURPOSE: To determine the bacterial spectrum of exogenous endophthalmitis of different origins, namely, posttraumatic, postcataract surgery, filtering bleb-associated, and intravitreal treatment-related endophthalmitis, using the 16S rDNA sequencing method. METHODS: Aqueous humor or vitreous humor samples were collected from 24 endophthalmitis patients. Traditional cultivation and 16S rDNA sequencing were conducted with these samples. Three senile cataract controls and one intraocular irrigating solution were used as sequencing control. RESULTS: Eleven of the 24 samples (45.8%) obtained positive bacterial cultivation, and each sample positive for only one species. The 11 culture-positive species could all be identified in their corresponding sequencing results, but only four strains being the top one pathogen in the sequencing. A total of 567 species were isolated using 16S rDNA sequencing, with the top five species being Pseudomonas sp., Staphylococcus epidermidis, Staphylococcus sp., Streptococcus sp., and Enterococcus faecalis. The dominant bacterial strains varied among the different endophthalmitis categories but with no significant difference in the overall bacterial spectrum. Bacterial atlas containing Pseudomonas, Streptococcus, Staphylococcus, Actinomycetales_unclassified, Thermus, and Janibacter was shared by the four categories. Aqueous humor bacterial profile showed a higher overlap with contaminating bacteria from the environment. CONCLUSIONS: 16S rDNA sequencing is more efficient for endophthalmitis pathogen screening than the traditional cultivation method in terms of positive detection rate and the number of bacteria identified. But the risk of environmental contamination exists when using 16S rDNA sequencing method for endophthalmitis diagnosis. Different categories of endophthalmitis displayed diversified bacterial composition.

Deep-ultraviolet photodetector based on pulsed-laser-deposited Cs3Cu2I5 films/n-Si heterojunction.

All-inorganic lead-free perovskite Cs3Cu2I5 thin films were prepared using pulsed laser deposition. Effects of the substrate temperature, laser energy, and laser frequency on the film structure and optoelectronic properties were studied. A heterojunction photodetector based on Cs3Cu2I5/n-Si was constructed, and the deep-ultraviolet photoresponse was obtained. A high Ilight/Idark ratio of 130 was achieved at -1.3V, and the peak response of the heterojunction photodetector was 70.8 mA/W (280 nm), with the corresponding specific detectivity of 9.44×1011cm⋅Hz1/2⋅W-1. Moreover, the device showed good stability after being exposed to air for 30 days.

BI1 Activates Autophagy and Mediates TDP43 to Regulate ALS Pathogenesis.

Amyotrophic lateral sclerosis (ALS) is the most prevalent motor neuron disease in adults. Currently, there are no known drugs or clinical approaches that have demonstrated efficacy in treating ALS. Mitochondrial function and autophagy have been identified as crucial mechanisms in the development of ALS. While Bax inhibitor 1 (BI1) has been implicated in neurodegenerative diseases, its exact mechanism remains unknown. This study investigates the therapeutic impact of BI1 overexpression on ALS both in vivo and in vitro, revealing its ability to mitigate SOD1G93A-induced apoptosis, nuclear damage, mitochondrial dysfunction, and axonal degeneration of motor neurons. At the same time, BI1 prolongs onset time and lifespan of ALS mice, improves motor function, and alleviates neuronal damage, muscle damage, neuromuscular junction damage among other aspects. The findings indicate that BI1 can inhibit pathological TDP43 morphology and initially stimulate autophagy through interaction with TDP43. This study establishes a solid theoretical foundation for understanding the regulation of autophagy by BI1 and TDP43 while shedding light on the pathogenesis of ALS through their interaction - offering new concepts and targets for clinical implementation and drug development.

Iodine intercalation-assisted alkali activation constructs coal-based porous carbon for high-performance supercapacitors.

Supercapacitors have the advantages of fast charging and discharging speeds, high power density, long cycle life, and wide operating temperature range. They are widely used in portable electronic equipment, rail transit, industry, military, aerospace, and other fields. The design and preparation of low-cost, high-performance electrode materials still pose a bottleneck that hinders the development of supercapacitors. In this paper, coal was used as the raw material, and the coal-based porous carbon electrode material was constructed using the iodine intercalation-assisted activation method and used for supercapacitors. The CK-700 electrode exhibits excellent charge storage performance in a 6 M potassium hydroxide (KOH) electrolyte, with a maximum specific capacitance of 350 F/g at a current density of 0.5 A/g. In addition, it has an excellent rate performance (310 F/g at 1 A/g) and cycle stability (capacitance retention up to 91.7 % after 30000 cycles). This work provides a method for realizing high-quality, high-yield and low-cost preparation of coal-based porous carbon, and an idea for improving the performance of supercapacitors.

The impact of pension insurance types on the health of older adults in China: a study based on the 2018 CHARLS data.

Introduction: Pension insurance is an essential safeguard for the quality of life and health of older adults because it provides a stable and dependable source of income after retirement. China has constructed a multi-level social security system to accommodate the diverse needs of older adults, and offers various levels of pension insurance to maximize their interests. Methods: This study uses propensity score matching and ordinary least squares techniques to analyze 7,359 data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) in order to explore the relationship between different pension insurance categories and the health of older individuals. Results: The research findings reveal that advanced insurances greatly benefit the health of older adults more than basic pension insurances, and the findings pass the robustness test. In addition, the effect was found to be heterogeneous, depending on the location of retirement and the marital status of older adults.Our findings suggest that both material and non-material consumption may be potential mechanisms by which pension insurance affects the health of older adults, providing new evidence for the causal mechanism between pension insurance and the health of older adults. Discussion: This study expands the scope of research on the health effects of pension insurance by covering a large representative sample across the country. The results show the important impact of the level of pension insurance on the health of older adults and can contribute to the development of social policies to promote the physical and mental health of older adults.

Laboratory Evaluation of Optical Performance of Aspheric Monofocal Intraocular Lenses With Various Anti-misalignment Designs Under the Influence of Decentration and Tilt.

PURPOSE: To assess the effectiveness and characteristics of aspheric monofocal intraocular lenses (IOLs) with different anti-misalignment designs. METHODS: Three types of anti-misalignment IOLs (with aspheric balance curve design, ZO optic design, and high-order optical aspheric surface design) and no anti-misalignment IOLs were involved. From each type of these IOLs, +8.00, +17.00, and +26.00 diopter (D) lenses were used for detection at the 3- and 4.5-mm apertures. The modulation transfer function (MTF) and 50% of the maximum value of the MTF (MTF50) were measured while IOLs were centered, decentered by 0.3, 0.5, and 0.7 mm, and tilted by 3, 5, and 7 degrees. RESULTS: Within the average clinical range of IOL malpositions (0.3-mm decentration or 3.00-D tilt), the anti-misalignment design slightly reduced the negative effect of decentration and tilt (P = .1845 and .6495, t test) on the optical performance of IOLs. Beyond the average range, the anti-misalignment design narrowed the reductions of MTF50 from 23.18% to 8.60% for decentration and from 40.31% to 27.96% for tilt (P = .0010, two-factor analysis of variance). The optical performance varied in anti-misalignment IOLs with different diopters, types, and degrees of malpositions at different aperture sizes. In both photopic and mesopic conditions and all probable misalignments, from the perspective of MTF50, better sharpness generally may be achieved with the 8.00-D ZO optic designed lens and 17.00-D high-order optical aspheric surface designed lens. For 26.00-D IOLs with different misalignments, the ABC design was more resistant to decentrations, whereas the high-order optical aspheric surface design was more resistant to tilts. CONCLUSIONS: Aspheric monofocal IOLs with an anti-misalignment design can effectively resist decentration and tilt. Anti-misalignment IOLs for complicated cataract could be selected according to diopter of IOL and types and degrees of probable IOL malpositions. [J Refract Surg. 2023;39(7):446-455.].

Metagenome Investigation of Ocular Microbiota of Cataract Patients With and Without Type 2 Diabetes.

Purpose: Our objective was to investigate differences in the ocular surface bacterial composition in cataract patients with and without type 2 diabetes (T2D). Methods: Twenty-four diabetic patients with cataracts (group D) and 14 sex- and age-matched patients with age-related cataracts (group N) were recruited for this study. All samples underwent DNA extraction, fragmentation, purification, library construction, and metagenomic sequencing. Results: The overall conjunctival sac bacterial composition was similar between group D and group N, as determined by alpha diversity and beta diversity. Nevertheless, significant differences were observed in the relative abundance of specific bacteria. At the phylum level, group D had a significantly lower abundance of Chlamydiae, Tenericutes, Chloroflexi, Cyanobacteria, Cossaviricota, Chytridiomycota, Artverviricota, Zoopagomycota, Peploviricota, Deinococcus-Thermus, Preplasmiviricota, and Nucleocytoviricota. At the genus level, group D had a significantly lower abundance of Chlamydia, Mycoplasma, Salmonella, Chryseobacterium, Roseovarius, Desulfococcus, Kangiella, Anaerococcus, and Idiomarina but a significantly higher abundance of Parabacteroides, Phocaeicola, and Sphingomonas. Bacteria such as Aquificae, Parabacteroides, Flavobacterium, Austwickia, Aquifex, Tenacibaculum, and Chryseobacterium in group D and Tenericutes, Chlamydiae, Porphyromonas, Mycoplasma, Chlamydia, Kangiella, Idiomarina, Roseovarius, Aliiroseovarius, and Desulfococcus in group N could be used as conjunctival sac biomarkers, according to the linear discriminant analysis effect size. Gene Ontology functional annotation indicated that bacterial catalytic activity, metabolic processes, locomotion, virion, and reproduction were enriched in group D, while immune system processes were enriched in group N. In addition, the top 30 differentially expressed virulence factors (VFs) were all more enriched in group D. Conclusions: The bacterial composition was similar between the two groups. Several bacterial strains that were reported beneficial in gut were decreased, and pathogenic bacteria were increased in T2D. Furthermore, group D had more active bacterial terms and increased VF expression, suggesting that the susceptibility of diabetic patients to infection is closely related to functional changes in the ocular surface flora. Our conjunctival microbiota atlas provides a reference for investigating ocular complications related to diabetes. Translational Relevance: The altered composition and functional profile of the ocular microbial community in diabetic patients offer evidence for the need to prevent infection during cataract surgery.

Impact of income on mental health during the COVID-19 pandemic: Based on the 2020 China family panel survey.

Since December 2019, the COVID-19 has continued to rage, and epidemic prevention policies have limited contact between individuals, which may has a great influence on the income of individuals, exacerbate anxiety and depression, and cause serious mental health problems. The current study aims to examine the association between income and mental health during the COVID-19 pandemic by using the data of 9,296 observations from the 2020 China Family Panel Studies. Employing ordinary least squares regression and two-stage least squares regression, we find the significant positive effect of income on Chinese mental health during this pandemic. In addition, the number of cigarettes smoked per day has significant negative effects on mental health. Education level'marriage and exercise frequency have significant positive correlation with mental health. Furthermore, the impact of income on individuals of different groups is heterogeneous during this pandemic. The impact of income for well-educated individuals is less strong than their less-educated counterparts. People who exercise regularly respond less strongly to changes in income than those who do not exercise. Finally, individuals' salary satisfaction and interpersonal relationship are shown to be the potential mechanism for the effect of income on Chinese mental health.

Relation between Noise Pollution and Life Satisfaction Based on the 2019 Chinese Social Survey.

Noise pollution is a leading cause of decreasing well-being of residents in both developed and developing countries. Improving residents' well-being measured by life satisfaction is a key goal of government policy. Individuals with high life satisfaction usually have positive emotions, life orientation, and codes of conduct, which are positive and beneficial for individuals, families, and society as a whole. In order to supplement relevant research and provide policy suggestions for individuals, government, and societies, this study explores the relationship between noise pollution and the life satisfaction of Chinese residents. Based on data from 4869 observations from the Chinese Social Survey in 2019, the effect of noise pollution on life satisfaction is estimated by using ordinary least squares and propensity score matching methods. The results show that noise pollution has a significant negative effect on Chinese life satisfaction. Moreover, the effect is heterogeneous depending on individuals' education levels and ages. Finally, residents' living environment satisfaction is shown to be the potential mechanism by which noise pollution affects life satisfaction.

Profiling of the Conjunctival Bacterial Microbiota Reveals the Feasibility of Utilizing a Microbiome-Based Machine Learning Model to Differentially Diagnose Microbial Keratitis and the Core Components of the Conjunctival Bacterial Interaction Network.

Both healthy and diseased human ocular surfaces possess their own microbiota. If allowed, opportunistic pathogens within the ocular microbiota may cause microbial keratitis (MK). However, the nonpathogenic component of the ocular microbiota has been proven to undermine the performance of culture, the gold standard of the etiological diagnosis for MK. As the conjunctival bacterial microbiota generates unique alterations with various oculopathies, this study aimed to evaluate the feasibility of distinguishing MK using machine learning based on the characteristics of the conjunctival bacterial microbiome associated with various types of MK. This study also aimed to reveal which bacterial genera constitute the core of the interaction network of the conjunctival bacterial microbiome. Conjunctival swabs collected from the diseased eyes of MK patients and the randomly chosen normal eyes of healthy volunteers were subjected for high-throughput 16S rDNA sequencing. The relative content of each bacterial genus and the composition of bacterial gene functions in every sample were used to establish identification models with the random forest algorithm. Tenfold cross validation was adopted. Accuracy was 96.25% using the bacterial microbiota structure and 93.75% using the bacterial gene functional composition. Therefore, machine learning with the conjunctival bacterial microbiome characteristics might be used for differentiation of MKs as a noninvasive supplementary approach. In addition, this study found that Actinobacteria, Lactobacillus, Clostridium, Helicobacter, and Sphingomonas constitute the core of the interaction network of the conjunctival bacterial microbiome.

Suppression of lysosomal-associated protein transmembrane 5 ameliorates cardiac function and inflammatory response by inhibiting the nuclear factor-kappa B (NF-κB) pathway after myocardial infarction in mice.

Myocardial infarction (MI) as the remarkable presentation of coronary artery disease is still a reason for morbidity and mortality in worldwide. Lysosomal-associated protein transmembrane 5 (LAPTM5) is a lysosomal-related protein found in hematopoietic tissues and has been confirmed as a positive regulator of pro-inflammatory pathways in macrophages. However, the role of LAPTM5 in MI remains unknown. In this study, we found that both mRNA and protein expression levels of LAPTM5 were significantly elevated in MI mice. Suppression of LAPTM5 in myocardial tissues decreased cardiac fibrosis and improved cardiac function after MI. At the molecular level, downregulated LAPTM5 dramatically suppressed the macrophage activation and inflammatory response via inhibiting the activation of the nuclear factor-kappa B (NF-κB) pathway. Collectively, suppression of LAPTM5 in myocardial tissues inhibits the pro-inflammatory response and the cardiac dysfunction caused by MI. This study indicated that LAPTM5 as a pro-inflammatory factor plays a crucial role in MI disease.

Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota.

The ocular surface possesses its own bacterial microbiota. Once given a chance, opportunistic pathogens within ocular microbiota may lead to corneal infection like bacterial keratitis (BK). To reveal the possible factor that makes people vulnerable to BK from the perspective of ocular bacterial microbiota, as well as to compare diagnostic information provided by high-throughput 16S rDNA sequencing and bacterial culture, 20 patients with BK and 42 healthy volunteers were included. Conjunctival swabs and corneal scrapings collected from the diseased eyes of BK patients were subjected for both high-throughput 16S rDNA sequencing and bacterial culture. Conjunctival swabs collected from the normal eyes of BK patients and healthy volunteers were sent only for sequencing. For identifying the pathogens causing BK, high-throughput 16S rDNA sequencing presented a higher positive rate than bacterial culture (98.04% vs. 17.50%), with 92.11% reaching the genus level (including 10.53% down to the species level). However, none of the sequencing results was consistent with the cultural results. The sequencing technique appears to challenge culture, and could be a complement for pathogen identification. Moreover, compared to the eyes of healthy subjects, the ocular microbiota of three sample groups from BK patients contained significantly less Actinobacteria and Corynebacteria (determinate beneficial symbiotic bacteria), but significantly more Gammaproteobacteria, Pseudomonas, Bacteroides, and Escherichia-Shigella (common ocular pathogenic bacteria). Therefore, it is speculated that the imbalance of protective and aggressive bacteria in the ocular microbiota of healthy people may trigger susceptibility to BK. Based on this speculation, it seems promising to prevent and treat infectious oculopathy through regulating ocular microbiota.

Diagnostic information Profiling and Evaluation of Causative Fungi of Fungal Keratitis Using High-throughput Internal Transcribed Spacer Sequencing.

Early and accurate diagnosis is essential for the targeted management of fungal keratitis (FK), which is one of the major blinding eye diseases worldwide. To elucidate the diagnostic information of high-throughput internal transcribed spacer (ITS) sequencing for identifying causative fungi of FK, 38 patients who were highly suspected of having FK were included in this research. In vivo confocal microscopy, potassium hydroxide smear, and fungal culture were performed to diagnose FK. Culture and ITS sequencing were used to identify causative fungi. We hypothesized that the dominant genus was the result of pathogen identification by ITS sequencing. Thirty-five patients were eventually diagnosed with FK, with fungal pathogens found by confocal microscopy in 27 patients (77.14%), by smear examination in 27 patients (77.14%), by culture in 25 patients (71.43%), and by ITS sequencing in 26 patients (74.29%). Eight causative fungal genera were determined by ITS sequencing, while five causative fungal genera were identified based on the morphology of the cultured pathogens. The results of ITS sequencing and culture were coincident in 10 patients with FK (28.57%). It is concluded that ITS sequencing, to some extent, challenged fungal culture and might be an optional complement in identifying fungal pathogens in corneas.