Ai-Ling Hour

Background: Glaucoma is an age-related optic neuropathy frequently accompanied by systemic comorbidities. Vitamin D deficiency (VDD) has been associated with cardiovascular and renal diseases in the general population, yet its relationship with long-term systemic outcomes in glaucoma remains unclear. This study evaluated the association between baseline vitamin D status and subsequent mortality and cardiorenal events in patients with primary glaucoma. Methods: We conducted a retrospective cohort study using deidentified electronic health records from the TriNetX U.S. Collaborative Network, a federated network of participating healthcare organizations. Adults (≥18 years) with incident primary glaucoma (2005–2020) and a serum 25-hydroxyvitamin D (25(OH)D) test within 12 months prior to diagnosis were categorized as VDD (2). Analyses incorporated Kaplan–Meier curves, Cox models, landmark tests, sensitivity analyses, and competing risk methods. Results: Among the 35,100 eligible patients, the matched cohorts demonstrated higher 5-year risks associated with VDD for all-cause mortality (HR 1.104; 95% CI 1.001–1.217), MACE (HR 1.151; 95% CI 1.078–1.229), and AKI (HR 1.154; 95% CI 1.056–1.261), whereas the risks of renal function decline did not differ (HR 0.972; 95% CI 0.907–1.042). Risk divergence emerged within the first year of follow-up and persisted through the 5-year observation period. Conclusions: In patients with primary glaucoma, vitamin D deficiency was associated with higher long-term risks of mortality and cardiorenal complications, but not renal function decline. Taken together, the results are consistent with vitamin D status serving as a marker of broader systemic vulnerability in glaucoma and highlight the need for prospective studies to further clarify its prognostic significance.

In an era of rapid digital development, e-learning has become a significant trend in the educational field. Medical technology students need to acquire extensive theoretical knowledge and practical skills. E-learning can enhance learning experiences, improving students’ understanding and application abilities. This study examined the impact of learning motivation, learning approaches, and learning burnout on the academic performance of medical technology students in an e-learning environment. This study conducted a quantitative survey on 37 medical technology students. The questionnaires included learning motivations, learning methods, and burnout, and responses provided on a 5-point Likert scale. First, the 37 students were categorized into three groups based on their academic performance. Then, differences between these groups were analyzed using the Kruskal-Wallis test, and correlations between academic performance and questionnaire variables were calculated using Spearman correlation analysis. It revealed that motivation varies among different academic performance levels. Furthermore, in the high-grade group, self-efficacy (r = -0.502, p = 0.047), monitoring studying (r = 0.494, p = 0.032), and emotional exhaustion (r = 0.514, p = 0.024) were correlated to academic performance. In the middle-grade group, self-efficacy for learning and performance was correlated to academic performance (r = 0.858, p = 0.001). In the low-grade group, academic performance was correlated to depth approach (r = 0.826, p = 0.022) and organized studying (r = 0.833, p = 0.020). This study, through a quantitative survey, found significant differences in learning motivation, learning methods, and learning burnout among medical technology students with different academic performance levels. High-grade students demonstrated higher levels of emotional exhaustion, which may reflect feelings of overextension and academic burnout in e-learning environments; the academic performance of the middle-grade group was related to intrinsic motivation; and low-grade students showed a stronger correlation between their learning methods in e-learning and their academic performance. These insights underscore the necessity for personalized learning strategies to enhance educational outcomes effectively.

Graves’ disease (GD) is an autoimmune inflammatory disease, and Graves’ ophthalmopathy (GO) occurs in 25–50% of patients with GD. Several susceptible genes were identified to be associated with GO in some genetic analysis studies, including the immune regulatory gene CTLA4. We aimed to find out the correlation of CTLA4 gene polymorphism and GO. A total of 42 participants were enrolled in this study, consisting of 22 patients with GO and 20 healthy controls. Chi-square or Fisher’s exact test were used to appraise the association between Graves’ ophthalmopathy and CTLA4 single nucleotide polymorphisms (SNPs). All regions of CTLA4 including promoter, exon and 3’UTR were investigated. There was no nucleotide substitution in exon 2 and exon 3 of CTLA4 region, and the allele frequencies of CTLA4 polymorphisms had no significant difference between patients with GO and controls. However, the genotype frequency of “TT” genotype in rs733618 significantly differed between patients with GO and healthy controls (OR = 0.421, 95%CI: 0.290–0.611, p = 0.043), and the “CC” and “CT” genotype in rs16840252 were nearly significantly differed in genotype frequency (p = 0.052). Haplotype analysis showed that CTLA4 Crs733618Crs16840252 might increase the risk of GO (OR = 2.375, 95%CI: 1.636–3.448, p = 0.043). In conclusion, CTLA4 Crs733618Crs16840252 was found to be a potential marker for GO, and these haplotypes would be ethnicity-specific. Clinical application of CTLA4 Crs733618Crs16840252 in predicting GO in GD patients may be beneficial.

Sugarcane served as the model plant for discovery of the C4 photosynthetic pathway. Magnesium is the central atom of chlorophyll, and thus is considered as a critical nutrient for plant development and photosynthesis. In plants, the magnesium transporter (MGT) family is composed of a number of membrane proteins, which play crucial roles in maintaining Mg homeostasis. However, to date there is no information available on the genomics of MGTs in sugarcane due to the complexity of the Saccharum genome. Here, we identified 10 MGTs from the Saccharum spontaneum genome. Phylogenetic analysis of MGTs suggested that the MGTs contained at least 5 last common ancestors before the origin of angiosperms. Gene structure analysis suggested that MGTs family of dicotyledon may be accompanied by intron loss and pseudoexon phenomena during evolution. The pairwise synonymous substitution rates corresponding to a divergence time ranged from 142.3 to 236.6 Mya, demonstrating that the MGTs are an ancient gene family in plants. Both the phylogeny and Ks analyses indicated that SsMGT1/SsMGT2 originated from the recent ρWGD, and SsMGT7/SsMGT8 originated from the recent σ WGD. These 4 recently duplicated genes were shown low expression levels and assumed to be functionally redundant. MGT6, MGT9 and MGT10 weredominant genes in the MGT family and werepredicted to be located inthe chloroplast. Of the 3 dominant MGTs, SsMGT6 expression levels were found to be induced in the light period, while SsMGT9 and SsMTG10 displayed high expression levels in the dark period. These results suggested that SsMGT6 may have a function complementary to SsMGT9 and SsMTG10 that follows thecircadian clock for MGT in the leaf tissues of S. spontaneum. MGT3, MGT7 and MGT10 had higher expression levels Insaccharum officinarum than in S. spontaneum, suggesting their functional divergence after the split of S. spontaneum and S. officinarum. This study of gene evolution and expression of MGTs in S. spontaneum provided basis for the comprehensive genomic study of the entire MGT genes family in Saccharum. The results are valuable for further functional analyses of MGT genes and utilization of the MGTs for Saccharum genetic improvement.

Abiotic stresses are the major limiting factors that affect plant growth, development, yield and final quality. Deciphering the underlying mechanisms of plants’ adaptations to stresses using few datasets might overlook the different aspects of stress tolerance in plants, which might be simultaneously and consequently operated in the system. Fortunately, the accumulated microarray expression data offer an opportunity to infer abiotic stress-specific gene expression patterns through meta-analysis. In this study, we propose to combine microarray gene expression data under control, cold, drought, heat, and salt conditions and determined modules (gene sets) of genes highly associated with each other according to the observed expression data. By analyzing the expression variations of the Eigen genes from different conditions, we had identified two, three, and five gene modules as cold-, heat-, and salt-specific modules, respectively. Most of the cold- or heat-specific modules were differentially expressed to a particular degree in shoot samples, while most of the salt-specific modules were differentially expressed to a particular degree in root samples. A gene ontology (GO) analysis on the stress-specific modules suggested that the gene modules exclusively enriched stress-related GO terms and that different genes under the same GO terms may be alternatively disturbed in different conditions. The gene regulatory events for two genes, DREB1A and DEAR1, in the cold-specific gene module had also been validated, as evidenced through the literature search. Our protocols study the specificity of the gene modules that were specifically activated under a particular type of abiotic stress. The biplot can also assist to visualize the stress-specific gene modules. In conclusion, our approach has the potential to further elucidate mechanisms in plants and beneficial for future experiments design under different abiotic stresses.

Anthocyanin accumulates in many plant tissues or organs, in rice for example leading to red, purple red and purple phenotypes for protection from damage by biotic and abiotic stresses and for reproduction. Purple leaf, leaf sheath, stigma, pericarp, and apiculus are common in wild rice and landraces and occasionally found in modern cultivars. No gene directly conferring anthocyanin deposited in a purple leaf sheath has yet been isolated by using natural variants. An F2 population derived from ssp. japonica cv. Tainung 72 (TNG72) with purple leaf sheath (PSH) crossed with ssp. indica cv. Taichung Sen 17 (TCS17) with green leaf sheath (GSH) was utilized to isolate a gene conferring leaf sheath color. By positional cloning, 10-and 3-bp deletions in the R2R3 Myb domain of OsC1 were uncovered in GSH varieties TCS17 and Nipponbare, respectively. Allelic diversity, rather than gene expression levels of OsC1, might be responsible for anthocyanin accumulation. Parsimony-based analysis of genetic diversity in 50 accessions, including cultivars, landraces, and A-genome wild rice, suggests that independent mutation occurred in Asian, African, South American, and Australian species, while O. meridionalis had a divergent sequence. OsC1 was thought of as a domestication related gene, with up to 90 % reduction of genetic diversity in GSH; however, no values from three tests showed significant differences from neutral expectations, implying that OsC1 had not been subjected to recent selection. Haplotype network analysis revealed that species from different continents formed unique haplotypes with no gene flow. Two major groups of haplotypes corresponding to 10-bp deletion and other sequences were formed in Asian rice, including O. rufipogon, O. nivara and O. sativa. Introgressions of OsC1 between subspecies through natural and artificial hybridization were not rare. Because artificial and natural selection imposed admixture on rice germplasm in Taiwan, the genealogy of OsC1 might not be congruent with the current distribution of alleles through lineage diversification. OsC1 is responsible for purple leaf sheath, and much new information about OsC1 is provided e.g., new alleles, non-domestication syndrome, and incongruence of genealogy with geographic distribution.