Association among peripatellar fat pad edema and related patellofemoral maltracking parameters: a case-control magnetic resonance imaging study

Abstract Background The peripatellar fat pads are critical for protective cushioning during movement, and their endocrine function has been shown to affect osteoarthritis. Magnetic resonance imaging (MRI) is frequently used to visualize edema of the peripatellar fat pads due to injury. In this study, we aimed to assess the relationship between peripatellar fat pad edema and patellofemoral maltracking MRI parameters and investigate the association among cases of peripatellar fat pad edema. Methods Age- and sex-matched peripatellar fat pad edema cases were identified and divided into superolateral Hoffa, quadriceps, and prefemoral groups. Images were assessed according to tibial tuberosity lateralization, trochlear dysplasia, patellar alta, patellar tilt, and bisect offset. McNemar’s test or paired t-tests and Spearman’s correlation were used for statistical analysis. Interobserver agreement was assessed with the intraclass correlation coefficient. Results Of 1210 MRI scans, 50, 68, and 42 cases were in the superolateral Hoffa, quadriceps, and prefemoral groups, respectively. Subjects with superolateral Hoffa fat pad edema had a lower lateral trochlear inclination (p = 0.028), higher Insall-Salvati (p < 0.001) and modified Insall-Salvati (p = 0.021) ratios, and lower patellotrochlear index (p < 0.001) than controls. The prefemoral group had a lower lateral trochlear inclination (p = 0.014) and higher Insall-Salvati (p < 0.001) and modified Insall-Salvati (p = 0.004) ratios compared with the control group. In contrast, the patellotrochlear index (p = 0.001) was lower. Mean patellar tilt angle (p = 0.019) and mean bisect offset (p = 0.005) were significantly different between cases and controls. The quadriceps group showed no association. Superolateral Hoffa was positively correlated with prefemoral (p < 0.001, r = 0.408) and negatively correlated with quadriceps (p < 0.001, r = -0.500) fat pad edema. Conclusions Superolateral Hoffa and prefemoral fat pad edemas were associated with patellar maltracking parameters. Quadriceps fat pad edema and maltracking parameters were not associated. Superolateral Hoffa fat pad edema was positively correlated with prefemoral and negatively correlated with quadriceps fat pad edema

Genomic and Transcriptomic Dissection of the Large-Effect Loci Controlling Drought-Responsive Agronomic Traits in Wheat

Drought tolerance is one of the most important targets for wheat breeding. Previous population genetics studies have uncovered 20 large-effect quantitative trait loci (QTLs) that contribute to stress-responsive agronomic traits. Here, we identified 19,035,814 single nucleotide polymorphisms and 719,049 insertion/deletion variations in the genomes of two popular winter wheat cultivars, Lu-Mai 14 and Han-Xuan 10, using a whole-genome re-sequencing assay. There were 4972 loss-of-function mutations carried by protein-coding genes, such as CCA1/LHY, AGO1, ABI3/VP1, EIN3, TPP, and ARFs. We carried out a time-course abscisic acid (ABA)-treatment experiment and profiled 61,251 expressed genes in the roots using a strand-specific RNA sequencing approach. A large number of genes showed time-point specific and/or cultivar-preferential responsive expression patterns. Gene ontology enrichment analysis revealed that ABA-responsive genes were associated with stress-related functions. Among the 20 QTLs, we uncovered 306 expressed genes with high- and/or moderate-effect variations and 472 differentially expressed genes. Detailed analysis and verification of the homozygous genomic variations in the candidate genes encoding sulfotransferase, proteinase, kinase, nitrate transporter, and transcription factors suggested previously unexpected pathways associated with abiotic stress responses in wheat

Genomic and Transcriptomic Dissection of the Large-Effect Loci Controlling Drought-Responsive Agronomic Traits in Wheat

Drought tolerance is one of the most important targets for wheat breeding. Previous population genetics studies have uncovered 20 large-effect quantitative trait loci (QTLs) that contribute to stress-responsive agronomic traits. Here, we identified 19,035,814 single nucleotide polymorphisms and 719,049 insertion/deletion variations in the genomes of two popular winter wheat cultivars, Lu-Mai 14 and Han-Xuan 10, using a whole-genome re-sequencing assay. There were 4972 loss-of-function mutations carried by protein-coding genes, such as CCA1/LHY, AGO1, ABI3/VP1, EIN3, TPP, and ARFs. We carried out a time-course abscisic acid (ABA)-treatment experiment and profiled 61,251 expressed genes in the roots using a strand-specific RNA sequencing approach. A large number of genes showed time-point specific and/or cultivar-preferential responsive expression patterns. Gene ontology enrichment analysis revealed that ABA-responsive genes were associated with stress-related functions. Among the 20 QTLs, we uncovered 306 expressed genes with high- and/or moderate-effect variations and 472 differentially expressed genes. Detailed analysis and verification of the homozygous genomic variations in the candidate genes encoding sulfotransferase, proteinase, kinase, nitrate transporter, and transcription factors suggested previously unexpected pathways associated with abiotic stress responses in wheat