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Fermented liquid feed (FLF) can improve dietary nutrient absorption levels, degrade anti-nutrient factors in diets, and increase beneficial bacteria abundance in animal guts. However, few systematic studies have been conducted on WFLF in pigs. The present study evaluates the effects of WFLF on the growth performance, nutrient digestibility, gastric volume, intestinal morphology, intestinal health, intestinal barrier function, serum biochemical immunity, gut microbiota, and intestinal microbial diversity of grower-finisher pigs. In total, 80 weaned pigs were randomly allocated to two treatment groups based on their initial body weight: a basal diet with pellet dry feeding (CON) and a basal diet with wheat-based fermented liquid feed (WFLF), with four replicate pens per group. The experiment lasted 82 d. Compared with CON pigs, those fed WFLF were heavier significantly at 60-82 d and had significantly higher average daily feed intake, average daily gain, and gain: feed ratio at 60-82 d and 1-82 d. WFLF pigs had significantly greater jejunum, total tract, and ileal digestibility for all nutrients and amino acids, excluding arginine, than CON pigs. WFLF intake influenced villus height, villus height: crypt depth ratio of the anterior segment of the jejunum(A-jejunum), crypt depth, and redox potential of the posterior segment of the jejunum (P-jejunum) while significantly affecting body weight. Additionally, FLF improved gastric capacity significantly. Furthermore, mRNA expression of occludin and claudin-1 in the mucosa of the ileum and jejunum was significantly higher in WFLF pigs than in CON pigs. WFLF increased serum concentrations of alanine transaminase and reduced low-density lipoprotein cholesterol, total cholesterol, and total bile acid content. The alpha diversity (Shannon and Simpson indices) in the stomachs of WFLF pigs was significantly higher than in CON pigs. Microbial diversity in the stomach, ileum, and cecum, as well as the abundance of lactic acid bacteria, were increased in WFLF pigs compared to CON pigs. In conclusion, WFLF intake may positively influence intestinal ecology by improving digestive tract structure, upregulating intestinal barrier-related genes, and improving intestinal morphology to enhance intestinal digestive function and health. Collectively, the present study shows that WFLF intake can increase growth performance while maintaining beneficial nutrient digestibility in grower-finisher pigs., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Thyroid nodules, increasingly prevalent globally, pose a risk of malignant transformation. Early screening is crucial for management, yet current models focus mainly on ultrasound features. This study explores machine learning for screening using demographic and biochemical indicators., Methods: Analyzing data from 6,102 individuals and 61 variables, we identified 17 key variables to construct models using six machine learning classifiers: Logistic Regression, SVM, Multilayer Perceptron, Random Forest, XGBoost, and LightGBM. Performance was evaluated by accuracy, precision, recall, F1 score, specificity, kappa statistic, and AUC, with internal and external validations assessing generalizability. Shapley values determined feature importance, and Decision Curve Analysis evaluated clinical benefits., Results: Random Forest showed the highest internal validation accuracy (78.3%) and AUC (89.1%). LightGBM demonstrated robust external validation performance. Key factors included age, gender, and urinary iodine levels, with significant clinical benefits at various thresholds. Clinical benefits were observed across various risk thresholds, particularly in ensemble models., Conclusion: Machine learning, particularly ensemble methods, accurately predicts thyroid nodule presence using demographic and biochemical data. This cost-effective strategy offers valuable insights for thyroid health management, aiding in early detection and potentially improving clinical outcomes. These findings enhance our understanding of the key predictors of thyroid nodules and underscore the potential of machine learning in public health applications for early disease screening and prevention., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Weng, Ding, Hu, Chen, Liu, Liu, Chen, Guo, Cao, Yi, Yang and Peng.)

Objectives: In recent years, the prevalence of diabetic nephropathy (DN) has increased significantly. An increasing number of studies have shown that lymphocyte-associated inflammatory responses play a role in DN. This study aims to investigate the relationship between lymphocytes and DN in patients with autoimmune diabetes., Methods: The clinical data of 226 patients with Type 1 diabetes (T1D) and 79 patients with latent autoimmune diabetes in adults (LADA) were retrospectively studied and stratified according to the urinary albumin to creatinine ratio (ACR). Risk factors associated with DN were analyzed using correlation analysis and logistic regression., Results: In T1D and LADA patients, systolic blood pressure (SBP), uric acid duration, and diabetes duration in patients with normoalbuminuria were lower or shorter than those in patients with macroalbuminuria ( P <0.05). The lymphocyte count of T1D patients was significantly higher than that in LADA patients ( P <0.05), while the neutrophil to lymphocyte ratio (NLR) of T1D patients was significantly lower than that in LADA patients ( P <0.05). The lymphocyte count in the T1D patients with normoalbuminuria was lower than that those with macroalbuminuria ( P <0.05). The NLR was lower in the T1D patients with macroalbuminuria than those with microalbuminuria and normoproteinuria (all P <0.01). Based on logistic regression analysis, lymphocytes were independently associated with DN in T1D after adjusting for various known risk factors such as course of disease, age, gender, dyslipidemia, hypertension, and smoking status. Analysis of the receiver operating characteristic curve of subjects predicting lymphocytes in normoalbuminuria showed that the area under the curve was 0.601 (95% CI 0.510 to 0.693, P =0.039), and when the cutoff value of lymphocytes was 2.332, the sensitivity was 37.0%, and the specificity was 82.5%., Conclusions: Lymphocyte counts in autoimmune diabetic patients are closely associated with DN, suggesting that lymphocyte-mediated inflammation may be involved in the pathogenesis of DN in autoimmune diabetic patients. This study provides a possible perspective for using lymphocytes as a potential biomarker for the early identification of individuals at risk for DN and potential therapeutic targets for DN.

Objectives: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset., Methods: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score., Results: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism., Conclusions: PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.

Objectives: There is a high coagulation state in pregnant women, which is prone to coagulation and fibrinolysis system dysfunction. This study aims to explore the latest coagulation markers-thrombomodulin (TM), thrombin-antithrombin complex (TAT), plasmin-α2 plasmin inhibitor complex (PIC), and tissue plasminogen activator/plasminogen activator inhibitor compound (tPAI-C) in different stages of pregnancy, establish reference intervals (RIs) for healthy pregnant women of Chinese population, and to provide an effective and reliable reference for clinicians., Methods: A total of 492 healthy pregnant women, who underwent pregnancy examination and delivery in the Department of Obstetrics, Second Xiangya Hospital of Central South University from October 2019 to October 2020, were enrolled for this study. They were assigned into the first trimester group, the second trimester group, the third trimester group, and the puerperium group according to the pregnancy period, and 123 healthy non-pregnant women were selected as the controls. Plasma levels of TM, TAT, PIC and tPAI-C were analyzed by automatic chemiluminescence immunoassay analyzer. The RIs for TM, TAT, PIC, and tPAI-C were defined using non-parametric 95% intervals, determined following Clinical and Laboratory Standards Institute Document C28-A3c (CLSI C28-A3c), and Formulation of Reference Intervals for the Clinical Laboratory Test Items (WS/T402-2012)., Results: TM and TAT levels increased gradually in the first, second, and third trimester women and decreased in the puerperium women ( P <0.05 or P <0.01). PIC level of healthy non-pregnant women was lower than that of pregnant women ( P <0.05 or P <0.01), but PIC level of pregnant and puerperium women did not differ significantly ( P >0.05). tPAI-C level in healthy non-pregnant women was lower than that of pregnant women ( P <0.05 or P <0.01), and tPAI-C level was significantly decreases in the puerperium women ( P <0.01). The RIs for TM were as follows: Healthy non-pregnant women at 3.20-4.60 TU/mL, the first and second trimester at 3.12-7.90 TU/mL, the third trimester at 3.42-8.29 TU/mL, puerperium at 2.70-6.40 TU/mL. The RIs for TAT were as follows: Healthy non-pregnant women at 0.50-1.64 ng/mL, the first and second trimester at 0.52-6.91 ng/mL, the third trimester at 0.96-12.92 ng/mL, puerperium at 0.82-3.75 ng/mL. The RIs for PIC were as follows: Healthy non-pregnant women at 0.160-0.519 ng/mL, pregnant women at 0.162-0.770 μg/mL. The RIs for tPAI-C were as follows: Healthy non-pregnant women at 1.90-4.80 ng/mL, the first and second trimester at 2.03-9.33 ng/mL, the third trimester at 2.80-14.20 ng/mL, puerperium at 1.10-8.40 ng/mL., Conclusions: The levels of 4 new coagulation markers TM, TAT, PIC, and tPAI-C in pregnant women are increased significantly during pregnancy and gradually return to normal after delivery. The RIs for TM, TAT, PIC, and tPAI-C in pregnant women by trimester are established according to CLSI C28-A3c, thus providing a clinical reference for clinician in judgement of thrombotic risk.

Objective: To investigate the current situation of hearing and the changing trend of hearing loss in all age groups in Hunan Province, and to explore the incidence of age-related hearing impairment and the feasibility of early screening in aging people. Method: A total of 13 681 subjects were divided into different age groups of 31-40 years old, 41-50 years old, 51-60 years old, 61-70 years old, 71-80 years old, and >80 years old. The average value of speech frequency hearing threshold （0.5, 1.0 and 2.0 kHz frequency） was calculated as an average hearing threshold. 4.0 and 8.0 kHz were high frequency sounds, hearing threshold > 25 dB at 4.0 and 8.0 kHz is the high-frequency pure-tone hearing loss. Result: The proportion of hearing loss was the lowest in the 31-40 years old group （6.8%）, whereas the proportion of hearing loss was the highest in the >80-year-old group （91.6%）. The proportion and degree of hearing loss increased with the increase of age （ P <0.05）; the proportion of people with normal speech frequency threshold but with the high-frequency pure-tone hearing loss also increased with the increase of age, the difference between the groups was statistically significant （ P <0.05）; the proportion of the speech frequency hearing loss was significantly higher in >60 years old group than that of the 31-60 years old group, and the difference was statistically significant （ P <0.05）. Conclusion: The proportion and degree of hearing loss in adult populations in Hunan Province significantly increased with age; hearing loss show up in the early age of the elderly; people with normal speech frequency hearing threshold should also routinely perform the high-frequency hearing test; speech frequency and high-frequency pure-tone hearing testing could be used in early detection of pre-sensual hearing loss, and its extent of routine hearing impairment screening will facilitate early intervention., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Editorial Department of Journal of Clinical Otorhinolaryngology Head and Neck Surgery.)

Infection by the canine distemper virus (CDV) results in a fulminating infectious disease that causes serious harm to dogs. With breaking 'of the CDV into primates, some researchers wonder if the CDV will cause a serious infection in humans. To better understand the potential of the CDV to infect humans, the molecular characteristics of the CDV, how it infects target cells in the host, the key receptors involved in infection, and infection of human cells in vitro were assessed in this review. There is no direct evidence that CDV can colonize and grow in humans. Two key receptors, SLAM and nectin-4, in hunans and primates have high identity, and the CDV can infect human cells in vitro. Therefore, we must pay close attention to the potential threat of infection by the CDV in humans.

We investigated infection by canine parvovirus and genetic variation of the VP2 gene. We collected feces samples of 50 diarrheal dogs in Sichuan Province, China. Analyses polymerase chain reaction (PCRs), agarose gel electrophoresis, and amplification of the complete sequence of canine parvovirus were done. We observed 19PCR-positive samples. Sequencing analyses of 15PCR-positive samples based on amplification of the complete VP2 gene showed all to be CPV-2a,and to be polymerized with Sichuan isolates. These results suggest that the common epidemic strain in Sichuan Province is CPV-2a,and may originate from the same strain. Compared with reference strains, there were no significant variations in canine parvovirus in Sichuan Province, China.