Some previous studies have identified bacteria in semen as being a potential factor in male infertility. However, only few types of bacteria were taken into consideration while using PCR-based or ...culturing methods. Here we present an analysis approach using next-generation sequencing technology and bioinformatics analysis to investigate the associations between bacterial communities and semen quality. Ninety-six semen samples collected were examined for bacterial communities, measuring seven clinical criteria for semen quality (semen volume, sperm concentration, motility, Kruger's strict morphology, antisperm antibody (IgA), Atypical, and leukocytes). Computer-assisted semen analysis (CASA) was also performed. Results showed that the most abundant genera among all samples were Lactobacillus (19.9%), Pseudomonas (9.85%), Prevotella (8.51%) and Gardnerella (4.21%). The proportion of Lactobacillus and Gardnerella was significantly higher in the normal samples, while that of Prevotella was significantly higher in the low quality samples. Unsupervised clustering analysis demonstrated that the seminal bacterial communities were clustered into three main groups: Lactobacillus, Pseudomonas, and Prevotella predominant group. Remarkably, most normal samples (80.6%) were clustered in Lactobacillus predominant group. The analysis results showed seminal bacteria community types were highly associated with semen health. Lactobacillus might not only be a potential probiotic for semen quality maintenance, but also might be helpful in countering the negative influence of Prevotella and Pseudomonas. In this study, we investigated whole seminal bacterial communities and provided the most comprehensive analysis of the association between bacterial community and semen quality. The study significantly contributes to the current understanding of the etiology of male fertility.
MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the ...miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.
Chat Generative Pre-trained Transformer (ChatGPT), OpenAI Limited Partnership, San Francisco, CA, USA is an artificial intelligence language model gaining popularity because of its large database and ...ability to interpret and respond to various queries. Although it has been tested by researchers in different fields, its performance varies depending on the domain. We aimed to further test its ability in the medical field.
We used questions from Taiwan's 2022 Family Medicine Board Exam, which combined both Chinese and English and covered various question types, including reverse questions and multiple-choice questions, and mainly focused on general medical knowledge. We pasted each question into ChatGPT and recorded its response, comparing it to the correct answer provided by the exam board. We used SAS 9.4 (Cary, North Carolina, USA) and Excel to calculate the accuracy rates for each question type.
ChatGPT answered 52 questions out of 125 correctly, with an accuracy rate of 41.6%. The questions' length did not affect the accuracy rates. These were 45.5%, 33.3%, 58.3%, 50.0%, and 43.5% for negative-phrase questions, multiple-choice questions, mutually exclusive options, case scenario questions, and Taiwan's local policy-related questions, with no statistical difference observed.
ChatGPT's accuracy rate was not good enough for Taiwan's Family Medicine Board Exam. Possible reasons include the difficulty level of the specialist exam and the relatively weak database of traditional Chinese language resources. However, ChatGPT performed acceptably in negative-phrase questions, mutually exclusive questions, and case scenario questions, and it can be a helpful tool for learning and exam preparation. Future research can explore ways to improve ChatGPT's accuracy rate for specialized exams and other domains.
Eighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in ...normal samples (from people with a body mass index (BMI) ≤ 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium (3.9%), and Eubacterium (3.5%). The most abundant genera of bacteria in case samples (with a BMI ≥ 27) were Bacteroides (29%), Prevotella (21%), Escherichia (7.4%), Megamonas (5.1%), and Phascolarctobacterium (3.8%). A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples. An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups. Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher’s P value = 1.61 E - 07 ). The results showed that bacterial communities in the gut were highly associated with obesity. This is the first study in Taiwan to investigate the association between human gut flora and obesity, and the results provide new insights into the correlation of bacteria with the rising trend in obesity.
One of the most common and recurrent vaginal infections is bacterial vaginosis (BV). The diagnosis is based on changes to the "normal" vaginal microbiome; however, the normal microbiome appears to ...differ according to reproductive status and ethnicity, and even among individuals within these groups. The Amsel criteria and Nugent score test are widely used for diagnosing BV; however, these tests are based on different criteria, and so may indicate distinct changes in the vaginal microbial community. Nevertheless, few studies have compared the results of these test against metagenomics analysis.
Vaginal flora samples from 77 participants were classified according to the Amsel criteria and Nugent score test. The microbiota composition was analyzed using 16S ribosome RNA gene amplicon sequencing. Bioinformatics analysis and multivariate statistical analysis were used to evaluate the microbial diversity and function.
Only 3 % of the participants diagnosed BV negative using the Amsel criteria (A-) were BV-positive according to the Nugent score test (N+), while over half of the BV-positive patients using the Amsel criteria (A+) were BV-negative according to the Nugent score test (N-). Thirteen genera showed significant differences in distribution among BV status defined by BV tests (e.g., A - N-, A + N- and A + N+). Variations in the four most abundant taxa, Lactobacillus, Gardnerella, Prevotella, and Escherichia, were responsible for most of this dissimilarity. Furthermore, vaginal microbial diversity differed significantly among the three groups classified by the Nugent score test (N-, N+, and intermediate flora), but not between the Amsel criteria groups. Numerous predictive microbial functions, such as bacterial chemotaxis and bacterial invasion of epithelial cells, differed significantly among multiple BV test, but not between the A- and A+ groups.
Metagenomics analysis can greatly expand our current understanding of vaginal microbial diversity in health and disease. Metagenomics profiling may also provide more reliable diagnostic criteria for BV testing.
Taiwanese students who graduated from Polish medical schools (P-IMGs) accounted for the second-largest group of international medical graduates in Taiwan. In 2009, domestic medical students in Taiwan ...staged mass demonstrations against P-IMG's exemption from the qualifying test before the licensing exam. Although medical circles in Taiwan might still hold prejudices against P-IMGs, little is known about their career development. This study will analyze P-IMGs' choices of specialties and training sites from 2000 to 2020 using data from the membership section of the Taiwan Medical Journal, the monthly official publication of the Taiwan Medical Association. Of 372 P-IMGs, 34.2% chose internal medicine and 17.1% surgery. Although academic medical centers offered 76% of all available trainee positions in a year, only 49.3% of P-IMGs received training there. By contrast, 20.9% of P-IMGs were trained at nonmetropolitan hospitals that altogether accounted for only 5.8% of trainee positions. In conclusion, P-IMGs had their residency training at less favorable specialties and sites. Their long-term career development deserves further study.
With the evolving specialization of modern medicine, family medicine (FM), also known as general practice, is relatively late in being recognized as a formal specialty in most countries of the world. ...Because many non-FM specialists were recruited into the new specialty in the early stages of FM specialization, the contents of FM specialty journals might, to an extent, reflect the development of the FM specialization.
In this study, the voluminous journal, Chinese General Practice, which is regarded as the most representative specialty journal, was chosen and analyzed to illustrate the current situation of FM in China. A total of 878 articles, relating to the journal, Chinese General Practice in 2018, were retrieved from the publisher's web site and the original articles were categorized into FM- and non-FM- related articles by 3 board-certified FM doctors. Furthermore, the first authors, as well as the institutions and regions where the first authors worked, and their related specialties, were also analyzed.
Of the 634 original articles, 252 (39.7%) articles were FM related. Only 41 FM-related articles were written by authors working at FM departments: 3 at community health service centers, 29 at hospitals, and 9 at universities. Of the 382 non-FM related articles, 159 articles dealt with the topic of internal medicine, followed by traditional Chinese medicine (36), obstetrics and gynecology (28), neurology (27), pediatrics (27), and surgery (21).
In conclusion, FM publications in China in the study year, as exemplified by Chinese General Practice, were mostly contributed by non-FM authors dealing with non-FM topics. A transition to more FM-oriented development might be anticipated in the near future.
Candida albicans (C. albicans) CDC4 (CaCDC4), encoding the F‑box protein for the substrate specificity of the Skp1‑cullin‑F‑box E3 ubiquitin ligase complex, suppresses the yeast‑to‑filament ...transition in C. albicans. In our previous study, Thr1 was identified as a CaCdc4‑associated protein using affinity purification. THR1 encodes a homoserine kinase, which is involved in the threonine biosynthesis pathway. The present study generated a strain with repressible CaCDC4 expression and continuous THR1 expression. Colony and cell morphology analyses, as well as immunoblotting, revealed that the Thr1 protein was detectable under conditions in which the expression of CaCDC4 was repressed and that the filaments resulting from the repressed expression of CaCDC4 were suppressed by the constitutive expression of THR1 in C. albicans. Additionally, by using the CaSAT1‑flipper method, the present study produced null mutants of THR1, GCN4, and CaCDC4. The phenotypic consequences were evaluated by growth curves, spotting assays, microscopic analysis, reverse transcription‑polymerase chain reaction and XTT‑based biofilm formation ability. The results revealed that fewer cells lacking THR1 entered the stationary phase but had no apparent morphological alteration. It was observed that the expression of THR1 was upregulated concurrently with GCN4 during nutrient depletion and that cells lacking GCN4 rescued the lethality of cells in the absence of THR1 in conditions accumulating homoserine in the threonine biosynthesis pathway. Of note, it was found that cells with either CaCDC4 or THR1 loss were sensitive to oxidative stress and osmotic stress, with those with THR1 loss being more sensitive. In addition, it was observed that cells with loss of either CaCDC4 or THR1 exhibited the ability to increase biofilm formation, with those lacking CaCDC4 exhibiting a greater extent of enhancement. It was concluded that CaCDC4 is important in the coordination of morphogenesis, nutrient sensing, and the stress response through THR1 in C. albicans.
Although the survival rate of burn patients in the Formosa Fun Coast Explosion disaster increased significantly, for patients facing long-term rehabilitation, there remained great stress. Therefore, ...the aim of this study was to explore the predictors of resilience among burn patients in this major disaster. We conducted a cross-sectional, descriptive study in a medical center in northern Taiwan, with a total of 30 burn patients enrolled. Patients’ demographics were collected, and the Resilience Scale and Perceived Stress Scale were administered. Multivariate statistical analysis by stepwise and linear regression was used to test these predictors of resilience. The results showed that perceived stress was the key predictor of resilience in the stepwise regression analysis and by adjusting variables including stress level, gender, and education level. These results indicate that the stress level of burn patients should be determined first to provide more targeted methods for reducing stress and improving resilience.
PDF
