Development and validation of a deep-learning model for the detection of non-displaced femoral neck fractures with anteroposterior and lateral hip radiographs.

Background: Hip fractures, including femoral neck fractures, are a significant cause of morbidity and mortality in the elderly population and are typically diagnosed using plain radiography. However, diagnosing non-displaced femoral neck fractures can be challenging due to their subtle appearance on hip radiographs. Previous deep-learning models have shown low accuracy in identifying these fractures on anteroposterior (AP) radiographs; however, no studies have used lateral radiographs. This study aimed to evaluate the potential of using deep-learning with both AP and lateral hip radiographs to automatically identify non-displaced femoral neck fractures. Methods: We conducted a retrospective analysis of patients with femoral neck fractures at The First Affiliated Hospital of Xiamen University. All the hip radiographs were reviewed, and cases of non-displaced femoral neck fractures were included in the study. Additionally, 439 participants with normal hip radiographs were also included in the study. A vision transformer (Vit) model was developed using 1,536 AP and lateral hip radiograph. The model's performance was compared to the performance of two groups of human observers: an expert group comprising orthopedic surgeons and radiologists, and a non-expert group, including emergency physicians and general practice doctors. We also carried out the external validation using two additional data sets to assess the generalizability of the model. Results: The Vit model showed exceptional performance in detecting non-displaced femoral neck fractures on paired AP and lateral hip radiographs, achieving a binary accuracy of 95.8% [95% confidence interval (CI): 94.9%, 96.8%] and an area under the curve (AUC) of 0.988. Compared to the human observers, the model had a higher accuracy of 96.7% (95% CI: 93.9%, 99.5%) on the paired AP and lateral hip radiographs, while the accuracy of the expert group was 90.5% (95% CI: 85.7%, 95.2%). Further, the model maintained good performance during the external validation, with an AUC of 0.959 on the paired AP and lateral views. Conclusions: Our Vit model showed expert-level performance in identifying non-displaced femoral neck fractures on paired AP and lateral hip radiographs. This model has the potential to enhance diagnosis accuracy and improve patient outcomes by reducing the need for additional examinations and preoperative time.

Comparison of Chinese Broiler Production Systems in Economic Performance and Animal Welfare.

Both proper animal welfare and economic benefit are important to the broiler industry, so it is better to consider these two factors together. The purpose of this study was to investigate the relationship between economic benefit and animal welfare in different production systems of white-feathered broilers in China. Based on the Welfare Quality Assessment (WQA) protocol for poultry, the authors compared and evaluated the results of the Welfare Quality model (WQM) and the deterministic model. The present study conducted welfare evaluations and investigations on 66 broiler chicken flocks on 52 farms in China. These flocks included three types: the net floor system (NFS), the normal cage system (NCS), and the high standard cage system (HCS). In terms of economy, the results were in line with high economic input, high output, and high profit. In terms of animal welfare assessment, the authors calculated the welfare scores per measure and the attributional WQ scores and WQ index scores of each production systems. The results showed that nine welfare measures from four welfare criteria presented different trends in the three production systems. WQ index scores were 778.24 ± 29.45, 691.09 ± 32.97, and 669.82 ± 22.79, respectively. According to Chow test results, significant differences were found between WQ index scores and total cost and profit (all p < 0.01). In conclusion, with the development of white-feathered broiler production in China, from the conventional system to the latest system, both cost and economic profit have been increased, but the welfare score has been decreased.

Duplication of toll-like receptor 22 in teleost fishes.

The TLRs of teleost fishes have distinct features and are highly diverse, but the duplication characteristics and expression patterns of the tlr22 gene remain unclear. Here, we identified paralogous tlr22 genes in 13 teleost fishes by screening available fish genomic resources and using molecular cloning. We then conducted comprehensive bioinformatics analyses and investigated spatiotemporal differences in the expression patterns of the tlr22 genes in G. eckloni. The results indicated that more than three paralogous tlr22 genes were possessed by some teleost fishes. Of these, tlr22c is specific to some subfamilies of the Cyprinidae (e.g., Barbinae, Cyprininae, Schizothoracinae, and Leuciscinae). Phylogenetic and syntenic analyses showed that the paralogous tlr22 genes originated from two single-gene duplication events. Molecular clock calculations dated the two gene duplication events at 49.5 and 39.3 MYA, which is before the common carp-specific genome duplication event and well after the fish-specific genome duplication. Gene duplication of tlr22 was followed by gene loss or pseudogene events in certain lineages. Spatiotemporal expression differences between the three duplicated tlr22 genes from G. eckloni suggested that these genes diverged functionally after gene duplication.

Molecular characterization and expression changes of cytoglobin genes in response to hypoxia in a Tibetan schizothoracine fish, Schizopygopsis pylzovi.

Schizopygopsis pylzovi, an endemic fish of the subfamily Schizothoracinae, is comparatively well adapted to dissolved oxygen fluctuations in the aqueous environments of the Qinghai-Tibetan Plateau. Here, we cloned the complete cDNA of cytoglobin 1 and 2 (Cygb1 and Cygb2) from S. pylzovi and then investigated transcriptional changes of both genes in the selected tissues in response to hypoxia. Both the two genes had the standard exon-intron structure of vertebrate Mb genes but lacked an exon at downstream of the H helix (HC11.2) as seen in mammals. We applied severe hypoxia (4 h at PO2 = 3.6% saturation) and moderate hypoxia (72 h at PO2 = 36.0% saturation) to adult S. pylzovi. Under severe hypoxia, the Cygb1 mRNA levels decreased significantly in the liver, kidney, and brain, but increased significantly in the heart, while the Cygb2 mRNA levels downregulated significantly in the muscle and liver. But, the transcriptional activity of Cygb1 in muscle and that of Cygb2 in the kidney, brain, and heart remained almost unchanged. Under moderate hypoxia, the transcriptional activities of both genes in muscle and brain were turned down quickly after onset hypoxia, while in the liver, kidney, and heart, the transcriptional activities of both genes showed a short-term upregulation in different time periods of hypoxia exposure. Our data suggest that both the Cygb1 and Cygb2 in S. pylzovi are hypoxia-induced genes, and the responses of the transcription regulation of Cygb1 and Cygb2 genes to hypoxia are tissue specific and also depend on the hypoxia regime, which are different from that of other fish species.

Transcriptome Analysis Provides Insights Into the Adaptive Responses to Hypoxia of a Schizothoracine Fish (Gymnocypris eckloni).

The schizothoracine fish endemic to the Qinghai-Tibetan Plateau are comparatively well adapted to aquatic environments with low oxygen partial pressures. However, few studies have used transcriptomic profiling to investigate the adaptive responses of schizothoracine fish tissues to hypoxic stress. This study compared the transcriptomes of Gymnocypris eckloni subjected to 72 h of hypoxia (Dissolved oxygen, DO = 3.0 ± 0.1 mg/L) to those of G. eckloni under normoxia (DO = 8.4 ± 0.1 mg/L). To identify the potential genes and pathways activated in response to hypoxic stress, we collected muscle, liver, brain, heart, and blood samples from normoxic and hypoxic fish for RNA-Seq analysis. We annotated 337,481 gene fragments. Of these, 462 were differentially expressed in the hypoxic fish as compared to the normoxic fish. Under hypoxia, the transcriptomic profiles of the tissues differed, with muscle the most strongly affected by hypoxia. Our data indicated that G. eckloni underwent adaptive changes in gene expression in response to hypoxia. Several strategies used by G. eckloni to cope with hypoxia were similar to those used by other fish, including a switch from aerobic oxidation to anaerobic glycolysis and the suppression of major energy-requiring processes. However, G. eckloni used an additional distinct strategy to survive hypoxic environments: a strengthening of the antioxidant system and minimization of ischemic injury. Here, we identified several pathways and related genes involved in the hypoxic response of the schizothoracine fish. This study provides insights into the mechanisms used by schizothoracine fish to adapt to hypoxic environments.

Adaptive evolution of interferon regulatory factors is not correlated with body scale reduction or loss in schizothoracine fish.

Body scales in teleost fish are the first line of defense in protecting the fish from invading pathogens. However, the relationship between the adaptive evolution of immune-related genes and changes in the body scale-covering of fish has not been previously studied. Schizothoracine fish, characterized by progressive reduction of body scales from the primitive to the highly specialized species, are a good group to investigate this relationship. We obtained 11 IRF genes (IRF1-11) from 14 of schizothoracine fish representing primitive, specialized, and highly specialized species, of which seven IRF genes (IRF2, IRF3, IRF5, IRF6, IRF7, IRF8 and IRF9) contained the complete CDS. Sequence analysis demonstrated the deletion or insertion of 4-7 amino acids in IRF2, IRF3, IRF6 and IRF9, which seems to be a common phenomenon in the schizothoracine fish. Selection pressure analysis supported the hypothesis that positive selection has been driving the rapid evolution of IRFs in specific lineages of the schizothoracine fish. This, however, is not correlated with body scale reduction or loss in the evolution of these IRFs. Remarkably, the deletion or insertion found in IRF protein sequences presented a regular pattern corresponding to the scale-covering changes in schizothoracine fish. Our study provides evidence for positive selection in the IRF family, contributing to a better understanding of the adaptive evolution of immune-related genes in schizothoracine fish in response to environmental changes of the Qinghai-Tibetan Plateau.