Combination of static and dynamic neural imaging features to distinguish sensorineural hearing loss: a machine learning study.

Purpose: Sensorineural hearing loss (SNHL) is the most common form of sensory deprivation and is often unrecognized by patients, inducing not only auditory but also nonauditory symptoms. Data-driven classifier modeling with the combination of neural static and dynamic imaging features could be effectively used to classify SNHL individuals and healthy controls (HCs). Methods: We conducted hearing evaluation, neurological scale tests and resting-state MRI on 110 SNHL patients and 106 HCs. A total of 1,267 static and dynamic imaging characteristics were extracted from MRI data, and three methods of feature selection were computed, including the Spearman rank correlation test, least absolute shrinkage and selection operator (LASSO) and t test as well as LASSO. Linear, polynomial, radial basis functional kernel (RBF) and sigmoid support vector machine (SVM) models were chosen as the classifiers with fivefold cross-validation. The receiver operating characteristic curve, area under the curve (AUC), sensitivity, specificity and accuracy were calculated for each model. Results: SNHL subjects had higher hearing thresholds in each frequency, as well as worse performance in cognitive and emotional evaluations, than HCs. After comparison, the selected brain regions using LASSO based on static and dynamic features were consistent with the between-group analysis, including auditory and nonauditory areas. The subsequent AUCs of the four SVM models (linear, polynomial, RBF and sigmoid) were as follows: 0.8075, 0.7340, 0.8462 and 0.8562. The RBF and sigmoid SVM had relatively higher accuracy, sensitivity and specificity. Conclusion: Our research raised attention to static and dynamic alterations underlying hearing deprivation. Machine learning-based models may provide several useful biomarkers for the classification and diagnosis of SNHL.

Microstructure and Perfusion Alterations of Globus Pallidus in Neonates with Hyperbilirubinemia.

BACKGROUND: Previous studies have indicated the abnormality of the globus pallidus in neonates with hyperbilirubinemia. OBJECTIVE: This study aims to explore the microstructure and cerebral perfusion of globus pallidus in neonatal hyperbilirubinemia by using Diffusion Tensor Imaging (DTI) and Arterial Spin Labeling (ASL) approaches. METHODS: Thirty-seven neonates were enrolled in this study, which were classified into Bilirubin-Induced Neurologic Dysfunction (BIND) group (hyperbilirubinemia with BIND, n=12), non-BIND group (hyperbilirubinemia without BIND, n=15), and healthy controls (HC) group (n=10). The quantitative values of globus pallidus were calculated from DTI, including the Apparent Diffusion Coefficient (ADC), the Fractional Anisotropy (FA), and Volume Ratio (VR) values. Additionally, the relative Cerebral Blood Flow (rCBF) values were obtained from ASL. RESULTS: It was observed that the mean DTI signal of globus pallidus was significantly different among the three groups (p < 0.05). However, there were no significant differences in the rCBF of globus pallidus among the three groups (p > 0.05). A positive correlation was also observed between the fractional anisotropy (FA) value and serum bilirubin level (r = 0.561, p = 0.002), while the VR value showed a negative correlation with serum bilirubin level (r=-0.484, p=0.011). The area under the curve (AUC) of FA, VR, and FA and VR combined was 0.897, 0.858, and 0.933, respectively. CONCLUSION: The alterations of microstructure in globus pallidus, especially FA and VR value, may be valuable and sensitive at the early stage of hyperbilirubinemia encephalopathy, suggesting that early hyperbilirubinemia may lead to cytotoxic edema and decreased permeability of the cell membrane.

Causality of genetically determined blood metabolites on irritable bowel syndrome: A Mendelian randomization study.

BACKGROUND: Irritable bowel syndrome (IBS) is one of the most common functional bowel disorders and dysmetabolism plays an important role in the pathogenesis of disease. Nevertheless, there remains a lack of information regarding the causal relationship between circulating metabolites and IBS. A two-sample Mendelian randomization (MR) analysis was conducted in order to evaluate the causal relationship between genetically proxied 486 blood metabolites and IBS. METHODS: A two-sample MR analysis was implemented to assess the causality of blood metabolites on IBS. The study utilized a genome-wide association study (GWAS) to examine 486 metabolites as the exposure variable while employing a GWAS study with 486,601 individuals of European descent as the outcome variable. The inverse-variance weighted (IVW) method was used to estimate the causal relationship of metabolites on IBS, while several methods were performed to eliminate the pleiotropy and heterogeneity. Another GWAS data was used for replication and meta-analysis. In addition, reverse MR and linkage disequilibrium score regression (LDSC) were employed for additional assessment. Multivariable MR analysis was conducted in order to evaluate the direct impact of metabolites on IBS. RESULTS: Three known and two unknown metabolites were identified as being associated with the development of IBS. Higher levels of butyryl carnitine (OR(95%CI):1.10(1.02-1.18),p = 0.009) and tetradecanedioate (OR(95%CI):1.13(1.04-1.23),p = 0.003)increased susceptibility of IBS and higher levels of stearate(18:0)(OR(95%CI):0.72(0.58-0.89),p = 0.003) decreased susceptibility of IBS. CONCLUSION: The metabolites implicated in the pathogenesis of IBS possess potential as biomarkers and hold promise for elucidating the underlying biological mechanisms of this condition.

Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm.

The application of artificial intelligence technology in the medical field has become increasingly prevalent, yet there remains significant room for exploration in its deep implementation. Within the field of orthopedics, which integrates closely with AI due to its extensive data requirements, rotator cuff injuries are a commonly encountered condition in joint motion. One of the most severe complications following rotator cuff repair surgery is the recurrence of tears, which has a significant impact on both patients and healthcare professionals. To address this issue, we utilized the innovative EV-GCN algorithm to train a predictive model. We collected medical records of 1,631 patients who underwent rotator cuff repair surgery at a single center over a span of 5 years. In the end, our model successfully predicted postoperative re-tear before the surgery using 62 preoperative variables with an accuracy of 96.93%, and achieved an accuracy of 79.55% on an independent external dataset of 518 cases from other centers. This model outperforms human doctors in predicting outcomes with high accuracy. Through this methodology and research, our aim is to utilize preoperative prediction models to assist in making informed medical decisions during and after surgery, leading to improved treatment effectiveness. This research method and strategy can be applied to other medical fields, and the research findings can assist in making healthcare decisions.

High-Throughput CD36 Phenotyping on Human Platelets Based on Sandwich ELISA and Mutant Gene Analysis.

Background: CD36 deficiency is closely associated with fetal/neonatal alloimmune thrombocytopenia, platelet transfusion refractoriness, and other hemorrhage disorders, particularly in Asian and African populations. There is a clinical need for rapid and high-throughput methods of platelet CD36 (pCD36) phenotyping to improve the availability of CD36 typing of donors and assist clinical blood transfusions for patients with anti-CD36 antibodies. Such methods can also support the establishment of databases of pCD36-negative phenotypes. Study Design and Methods: A sandwich enzyme-linked immunosorbent assay (ELISA) for CD36 phenotyping of human platelets was developed using anti-CD36 monoclonal antibodies. The reliability of the assay was evaluated by calculating the intra-assay and inter-assay coefficients of variation (CV). A total of 1,691 anticoagulant whole blood samples from healthy blood donors were randomly selected. PCD36 expression was measured using a sandwich ELISA. PCD36 deficiency was confirmed by flow cytometry (FC). Mutations underlying pCD36 deficiency were identified using polymerase chain reaction sequence-based typing (PCR-SBT). Results: The sandwich ELISA for pCD36 phenotyping had high reliability (intra-assay CV, 2.1-4.8%; inter-assay CV, 2.3-5.2%). The sandwich ELISA was used to screen for CD36 expression on platelets isolated from 1,691 healthy blood donors. Of these, 36 samples were pCD36-negative. FC demonstrated absence of CD36 expression on monocytes in three of the 36 cases. In the present study population, the frequency of CD36 deficiency was 2.13% (36/1,691), of which 0.18% (3/1,691) was type I deficiency and 1.95% (33/1,691) was type II deficiency. In addition, we used PCR-SBT to characterize the gene mutations in exons 3-14 of the CD36 gene in 27 cases of CD36 deficiency and discovered 10 types of mutations in 13 pCD36-negative samples. Conclusion: The present study describes the development and characterization of a highly reliable sandwich ELISA for high-throughput screening for pCD36 expression. This novel method is feasible for clinical applications and provides a useful tool for the establishment of databases of pCD36-negative phenotype donors.

Bridging repair reinforced with artificial ligament as an internal brace for irreparable massive rotator cuff tears.

BACKGROUND: The irreparable massive rotator cuff tear (IMRCT) is challenging to manage. Although various surgical options have been proposed to treat IMRCTs, the optimal surgical technique remains controversial. Arthroscopic bridging patch repair is clinically used for treating IMRCTs, but the healing rate of the patch graft is negatively affected by superior shift of the humeral head. This study aimed to evaluate the clinical efficacy of artificial ligament as an internal brace (IB) reinforcing fascia lata autograft bridging repair (ABR) in the treatment of IMRCTs. METHODS: The data of 50 patients with IMRCTs who underwent ABR reinforced with artificial ligament as an IB (ABR + IB) (internal brace group) or ABR alone (control group) were retrospectively evaluated preoperatively and at 2-year follow-up. Clinical outcomes were assessed based on the shoulder activity, of which the strength was measured using a 0-10 points manual muscle test scale, American Shoulder and Elbow Surgeons score, and visual analog scale for pain. Imaging outcomes were evaluated based on acromiohumeral distance (AHD), Hamada grade, Goutallier grade, and the status of fascia lata grafts as per radiographs or magnetic resonance imaging findings. RESULTS: Both groups showed significantly better results in shoulder activity, American Shoulder and Elbow Surgeons score, visual analog scale score, and AHD at 2-year follow-up compared with preoperative levels (P < .001). Compared with the control group (n = 24), the internal brace group (n = 26) had better mean AHD (7.0 ± 1.4 mm vs. 5.9 ± 1.0 mm, P = .002), mean improvement in AHD (3.3 ± 1.5 mm vs. 2.0 ± 0.6 mm, P < .001), healing rate of autografts (92.3% vs. 54.2%, P = .002), and improvement rate of Hamada grade (73.1% vs. 41.7%, P = .025) at 2-year follow-up. No significant differences were found in active elevation, active external rotation, active internal rotation, abduction strength, external rotation strength, internal rotation strength, American Shoulder and Elbow Surgeons score, or visual analog scale between the 2 groups at 2-year follow-up. CONCLUSION: Both the ABR + IB and ABR improved the postoperative short-term clinical and imaging outcomes in managing IMRCTs, the ABR + IB is statistically superior to ABR alone in terms of healing rate of the bridging graft, AHD, and Hamada grade at 2-year follow-up, while further clinical investigations with larger sample size and longer follow-ups are required to validate the clinical significance of this novel technique for IMRCTs.

Arthroscopic Superior Capsule Reconstruction With Combined Fascia Lata Autograft and Synthetic Scaffold Patch Graft for the Treatment of Irreparable Rotator Cuff Tears Yields Favorable Clinical and Radiographic Outcomes at Minimum 2-Year Follow-Up.

PURPOSE: To report the results of the arthroscopic superior capsule reconstruction (ASCR) technique with a combined fascia lata autograft and synthetic scaffold patch graft for irreparable massive rotator cuff tears (RCTs). METHODS: The period for this retrospective study was between December 2016 and December 2020. The criteria for inclusion were patients treated arthroscopically for an incompletely repaired massive RCT (dimension >5 cm and 2 tendons fully torn, intact or reparable subscapularis tendons and teres minor tendon with or without irreparable infraspinatus, a radiological Hamada classification between grade 0 and 4, and a minimum 24-month postoperative follow-up). Clinical outcomes were evaluated preoperatively and at a final follow-up by a visual analog scale (VAS) for pain and range of motion along with the American Shoulder and Elbow Surgeons score (ASES), the University of California Los Angeles score (UCLA), and the Constant-Murley score (CMS). Radiological outcomes were assessed, according to the rotator cuff arthropathy (RCA) and the acromiohumeral distance (AHD) stages. Graft integrity and muscle fatty infiltration were evaluated by magnetic resonance imaging (MRI). RESULTS: A total of 43 patients were enrolled in the study with a mean follow-up duration of 45.6 months (range: 24 to 64). All clinical scores also improved at the 2-year follow-up (mean: VAS 0.7 [SD 0.7] vs 5.4 [SD 1.1]; P < .001; mean: ASES 92.6 [SD 8.0] vs 34.8 [SD 13.4]; P < .001; mean UCLA 31.5 [SD 3.9] vs 11.0 [SD 3.2]; P < .001; and mean CMS 86.6 [SD 7.2] vs 40.0 [SD 11.6]; P < .001), and 39 of 43 fascia lata grafts were fully intact on MRI (91%). CONCLUSIONS: ASCR with a combined fascia lata autograft and synthetic scaffold patch graft resulted in good functional outcomes, with a high rate of graft healing at the 2-year follow-up. All patients achieved clinically relevant improvement (met minimal clinically important differences [MCID]) on ASES, UCLA, and VAS with improved abduction strength restoration. LEVEL OF EVIDENCE: Level IV, retrospective case series.

Static and dynamic topological organization of brain functional connectome in acute mild traumatic brain injury.

BACKGROUND: Prior studies have detected topological changes of brain functional networks in patients with acute mild traumatic brain injury (mTBI). However, the alterations of dynamic topological characteristics in mTBI have been scarcely elucidated. PURPOSE: To evaluate static and dynamic functional connectivity topological networks in patients with acute mTBI using resting-state functional magnetic resonance imaging (fMRI). MATERIAL AND METHODS: A total of 55 patients with acute mTBI and 55 age-, sex-, and education-matched healthy controls (HCs) were enrolled in this study. All participants underwent resting-state fMRI scans, and data were analyzed using graph-theory methods and a sliding window approach. Post-traumatic cognitive performance and resting-state fMRI data were collected within one week after injury. Static and dynamic functional connectivity patterns were determined by independent component analysis. Spearman's correlation analysis was further performed between fMRI changes and Montreal cognitive assessment (MoCA) scores. RESULTS: Global efficiency was lower (P = 0.02), and local efficiency (P < 0.001) and mean Cp (P < 0.001) were higher in patients with acute mTBI than in HCs. Local efficiency was correlated with visuospatial/executive performance (r = -0.421; P = 0.002) in patients with acute mTBI. Significant differences in nodal efficiency and node degree centrality (P < 0.01) were found between the mTBI and HC groups. For dynamic properties, patients with mTBI showed higher variance (P = 0.016) in global efficiency than HCs. CONCLUSIONS: The present study shows that patients with mTBI have abnormal brain functional connectome topology, especially the dynamic graph theory characteristics, which provide new insights into the role of topological network properties in patients with acute mTBI.

Centrifugal microfluidic platform with digital image analysis for parallel red cell antigen typing.

This study presents a portable multichannel microfluidic device for parallel and digital analysis of red cell antigen typing. A zigzag-shaped precise metering channel was designed for the simultaneous aliquoting of samples, which is independent of the volume of the predeposited blood-typing reagents in the reaction chambers. The entire assay protocol can be conducted using a sequential-step spinning protocol, which resembles that of conventional tube tests for blood typing; however, the manual procedure is largely reduced compared to that of conventional systems. After loading the samples, the disc is centrifuged in a defined program with five sequential steps, each of which can be completed in a few seconds. Through step-wise centrifugation, predeposited antibodies react with red blood cells, enabling the parallel identification of multiple red blood cell antigens without cross-contamination in 1 min. This is combined with gentle mixing to rapidly concentrate the agglutinates, making both visual and digital determination of agglutination straightforward. A customized image analysis algorithm for automatically determining the agglutination state was developed to complement this microfluidic system. The acquired image is processed after the test. The blood type is determined using a machine learning algorithm based on a histogram of oriented gradients (HOG) and support vector machines (SVM). This allows digital analysis to mirror the classical laboratory procedure for blood-type determination more accurately. The system was trained using a validated dataset of 150 blood samples, presenting 750 different agglutination patterns. The combination of SVM and HOG achieved 94.10% in the micro-weighted performance evaluation. This integrated microfluidic chip-based platform provides a "sample-in and answer out" demonstration for red blood cell typing, ensuring fast and reliable results because minimum manual steps are involved.

PM2.5 Exposure Induces Lung Injury and Fibrosis by Regulating Ferroptosis via TGF-ß Signaling.

Background: Lung fibrosis is a severe lung disorder featured by chronic nonspecific inflammation of the interstitial lung and deposition of collagen, leading to lung dysfunction. It has been identified that ferroptosis is involved in the progression of lung injury. Particulate matter (PM2.5) is reported to be correlated with the incidence of pulmonary fibrosis. However, mechanisms underlying ferroptosis in PM2.5-related lung fibrosis is unclear. In this study, we aimed to explore the effect of PM2.5 on ferroptosis in lung fibrosis and the related molecular mechanisms. Methods: PM2.5-treated mouse model and cell model were established. Fibrosis and tissue damage were measured by Masson's trichrome staining and HE staining. Fibrosis biomarkers, such as α-SMA, collagen I, and collagen III, were examined by histological analysis. The ferroptosis phenotypes, including the levels of iron, Fe2+, MDA, and GSH, were measured by commercial kits. ROS generation was checked by DCFH-DA. The oxidative stress indicators, 3-nitro-L-tyrosine (3'-NT), 4-HNE, and protein carbonyl, were checked by enzyme linked immunosorbent assay (ELISA). The thiobarbituric acid reactive substances (TBARS) and GSH/GSSG ratio were assessed by TBARS assay kit and GSH/GSSG assay kit, respectively. TGF-ß signaling was detected by Western blotting. Results: PM2.5 induced the lung injury and fibrosis in the mice model, along with elevated expression of fibrosis markers. PM2.5 enhanced oxidative stress in the lung of the mice. The SOD2 expression was reduced, and NRF2 expression was enhanced in the mice by the treatment with PM2.5. PM2.5 triggered ferroptosis, manifested as suppressed expression of GPX4 and SLC7A11, decreased levels of iron, Fe2+, and MDA, and increased GSH level in mouse model and cell model. The TGF-ß and Smad3 signaling was inhibited by PM2.5. ROS inhibitor NAC reversed PM2.5-regulated ROS and ferroptosis in primary mouse lung epithelial cells. Conclusions: Therefore, we concluded that PM2.5 exposure induced lung injury and fibrosis by inducing ferroptosis via TGF-ß signaling.

Study on a Natural Silk Cocoon Membrane-Based Versatile and Stable Immunosensing Platform via Directional Immunoaffinity Recognition.

The development of immunosensing assays for in vitro diagnostics has attracted great attention in recent years. Various substrate materials and immobilization methods of biomolecules were exploited for immunosensors, but their bioactivity and longevity have been facing serious challenges. To address this limitation, we investigated a natural silk cocoon membrane as immunosensing substrate material. By using its intrinsic properties, the target biomolecules were immobilized on the membrane through directional immunoaffinity recognition. The silk cocoon membrane-based immunosensor showed great potential for both qualitative and quantitative immunoassays, through naked-eye observation or analyzing the change in red color intensity, respectively. The immunosensor exhibited significant detection capability for anti-D (titer 1:1024) sensitized red blood cells. The colorimetric responses of concentrations ranged from 1 µg/mL to 1 ng/mL, and the detection limit for anti-D was 3.4 ng/mL. The immunosensor also showed excellent stability for the immobilized antibodies when stored at 4 and 25 °C; the bioactivity remained unchanged or slightly declined within 40 weeks. Even at 37 °C, the bioactivity began to decline after 12 weeks. This current work highlights the potential of using the natural silk cocoon membrane as a substrate for a versatile and thermally stable immunosensing platform for application in immunoassays.

Arthroscopic Superior Capsular Reconstruction for Massive Irreparable Rotator Cuff Tears Results in Significant Improvements in Patient Reported Outcomes and Range of Motion: A Systematic Review.

Purpose: The purposes of this study were to evaluate the clinical outcomes (with the minimum mean follow-up period of 2 years) of arthroscopic superior capsular reconstruction (ASCR) using different grafts for massive irreparable rotator cuff tears (MIRCTs) and to explore whether margin convergence in ASCR affects range of motion (ROM) outcomes. Methods: This systematic review was registered in PROSPERO and was then conducted following PRISMA guidelines by searching the databases: MEDLINE, EMBASE, Web of Science, and Cochrane Library database before April 2021. These literature searches investigating the clinical outcomes of ASCR were included. The methodological quality of included studies was assessed using the MINORS criteria. The data, including margin convergence, patient-reported outcome scores, range of motion, and complications, were extracted and analyzed. The minimal clinically important differences (MCID) criteria was used to define clinical significance. Results: 15 studies met the inclusion criteria. All studies reported statistically significant improvements in visual analog scale scores (range: 2.07 to 7.1) and American Shoulder and Elbow Surgeons scores (range: 18.1 to 58). Significant improvements of Constant scores were noted in 4 of 5 reporting studies (mean improvement ranged from 14.64 to 50.79). Active forward flexion/elevation (11 studies), active abduction (4 studies), and active external rotation (8 studies) displayed improvements in all reporting studies, with mean changes ranging from 12 to 73.68, 19 to 89.21, and 1 to 24.74, respectively. The mean change of postoperative acromiohumeral distance ranged from -0.86 mm to 3.2 mm in 9 studies. The postoperative complication rate of ASCR ranged from 4.5% to 47.6%. The anterior margin convergence in SCR was associated with a relatively poor improvement in active external rotation. Conclusions: ASCR contributes to significant improvements in patient-reported clinical outcomes and ROM at follow-up after a mean of more than two years, emerging as a viable option for patients with MIRCTs. The anterior margin convergence should be prudently chosen, especially in ASCR using fascia lata autograft, on account of the probable restriction on postoperative active external rotation. Level of Evidence: Level IV, systematic review of Level III and IV studies.

Dynamic functional network connectivity reveals the brain functional alterations in lung cancer patients after chemotherapy.

This study aimed to investigate alterations of brain functional network connectivity (FNC) in lung cancer patients after chemotherapy and explore links between these FNC differences and cognitive impairment. Twenty-two lung cancer patients receiving chemotherapy and 26 healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) and neuropsychological testing. Group independent component analysis (GICA) was applied to rs-fMRI data to extract whole-brain resting state networks (RSNs). Static and dynamic FNC (dFNC) were constructed to reveal RSNs connectivity alterations between lung cancer patients and HCs group, and the correlations between the group differences in RSNs and cognitive performance were analyzed. Our findings revealed that chemotherapeutics can produce widespread connectivity abnormalities in RSNs, mainly focused on default mode network (DMN) and executive control network. Furthermore, the dFNC analysis help identify network configurations of each state and capture more chemotherapy-induced disorders of interactions between and within RSNs, which mainly includes sensorimotor network, attentional network and auditory network. In addition, after chemotherapy, the lung cancer patients spend shorter mean dwell time (MDT) in state 2. The decreased dFNC between DMN [independent component 5 (IC5)] and DMN (IC6) in the lung cancer patients after chemotherapy in state 4 was negatively correlated with Montreal Cognitive Assessment (MoCA) scores (r=-0.447, p=0.042). The dFNC analysis enrich our understanding of the neural mechanisms underlying the chemobrain, and suggested that the temporal dynamics of FNC could be a potential effective method to detect cognitive changes in lung cancer patients receiving chemotherapy.

Combining fascia lata autograft bridging repair with artificial ligament internal brace reinforcement : a novel healing-improvement technique for irreparable massive rotator cuff tears.

AIMS: The aim of this study is to provide a detailed description of cases combining bridging patch repair with artificial ligament "internal brace" reinforcement to treat irreparable massive rotator cuff tears, and report the preliminary results. METHODS: This is a retrospective review of patients with irreparable massive rotator cuff tears undergoing fascia lata autograft bridging repair with artificial ligament "internal brace" reinforcement technique between January 2017 and May 2018. Inclusion criteria were: patients treated arthroscopically for an incompletely reparable massive rotator cuff tear (dimension > 5 cm or two tendons fully torn), stage 0 to 4 supraspinatus fatty degeneration on MRI according to the Goutallier grading system, and an intact or reparable infraspinatus and/or subscapularis tendon of radiological classification Hamada 0 to 4. The surgical technique comprised two components: first, superior capsular reconstruction using an artificial ligament as an "internal brace" protective device for a fascia lata patch. The second was fascia lata autograft bridging repair for the torn supraspinatus. In all, 26 patients with a mean age 63.4 years (SD 6.2) were included. RESULTS: All patients underwent more than two years of follow-up (mean 33.5 months (24 to 45)). All clinical scores were also improved at two-year follow-up (mean visual analogue scale 0.7 (SD 0.5) vs 6.1 (SD 1.2); p < 0.001; mean American Shoulder and Elbow Surgeons score 93.5 (SD 5.3) vs 42.5 (SD 10.8); p < 0.001; mean University of California, Los Angeles score, 31.7 (SD 3.7) vs 12.0 (SD 3.1); p < 0.001; and mean Constant-Murley score 88.7 (SD 3.5) vs 43.3 (SD 10.9); p < 0.001), and 24 of 26 fascia lata grafts were fully healed on MRI (92%). One patient had haematoma formation at the harvesting side of the fascia lata at two days postoperatively. CONCLUSION: The fascia lata autograft bridging repair combined with artificial ligament internal brace reinforcement technique achieved good functional outcomes, with a high rate of graft healing at two-year follow-up. Although the short-term results are promising, further studies with a greater number of patients would provide clearer results. Cite this article: Bone Joint J 2021;103-B(10):1619-1626.

In situ analysis of antibiotic resistance genes in anaerobically digested dairy manure and its subsequent disposal facilities.

The metagenomic and quantitative polymerase chain reaction approaches were combined to evaluate the profiles of ARGs and plasmids in anaerobically digested dairy manure in situ and reveal the persistence and elevation of typical ARGs and plasmids in its subsequent disposal facilities in CAFOs, respectively. Our results indicated that the typical ARGs and plasimd were mainly sul2, mefa, tetm-01, tetm-02, tetw, aph3iiia, and clostridioides difficile strain 12,038 plasmid unnamed in CAFOs, some of which greatly enriched in AD residue after its storage, especially sul1 and sul2. Meantime, the AD slurry recycling introduced the bacteria carrying ARGs into soil, especially Romboutsia genus, which greatly enriched sul2, tetm-01, tetm-02, aphiiia, and mefa. In the present study, ARGs occurrence, persistence and distribution were understood through in situ analysis of their profiles during dairy manure AD treatment and subsequent disposals in CAFOs, which are helpful for controlling the potential environmental risks from dairy manure recycling.

Disrupted hypothalamic functional connectivity related to cognitive impairment after diffuse axonal injury.

ABSTRACT: This study aims to investigate whether there is imaging evidence of disrupted hypothalamic functional connectivity (FC) in patients with diffuse axonal injury (DAI) and relationships with cognitive impairment.Resting-state functional magnetic resonance imaging (fMRI) data were acquired from acute patients with diagnosed DAI (n = 30) and healthy controls (HC) (n = 30). We first assessed hypothalamic FC with seed-based analysis. Furthermore, the lateral and medial hypothalamic seed was selected to show distinct functional connectivity in DAI. In addition, partial correlation was used to measure the clinical associations with the altered hypothalamic FC in DAI patients.Compared with HC, DAI group showed significantly increased hypothalamic FC with superior temporal gyrus, and the regions around the operculum. Furthermore, there was a significant negative correlation between the connectivity coefficient of hypothalamus to right and left superior temporal gyrus and the disability rating scale scores in DAI group. When the seed regions were divided into lateral and medial hypothalamus, except for increased connectivity of medial hypothalamus (P < .01 with correction), we more observed that decreased left lateral hypothalamic connectivity was positively correlated with mini-mental state examination (MMSE) scores.Our results suggest that there are alterations of hypothalamic FC in DAI and offer further understanding of clinical symptoms including related cognitive impairment.

Chicken Egg Yolk Antibodies (IgYs) block the binding of multiple SARS-CoV-2 spike protein variants to human ACE2.

The SARS-CoV-2 virus is still spreading worldwide, and there is an urgent need to effectively prevent and control this pandemic. This study evaluated the potential efficacy of Egg Yolk Antibodies (IgY) as a neutralizing agent against the SARS-CoV-2. We investigated the neutralizing effect of anti-spike-S1 IgYs on the SARS-CoV-2 pseudovirus, as well as its inhibitory effect on the binding of the coronavirus spike protein mutants to human ACE2. Our results show that the anti-Spike-S1 IgYs showed significant neutralizing potency against SARS-CoV-2 pseudovirus, various spike protein mutants, and even SARS-CoV in vitro. It might be a feasible tool for the prevention and control of ongoing COVID-19.

Application of lyophilised human platelets for antibody detection in solid phase red cell adherence assay.

Antibodies against human platelets cause a variety of thrombocytopenic disorders, which lead to potentially fatal haemorrhage. Therefore, their prompt detection is mandatory for successful patient treatment. Solid phase red cell adherence (SPRCA) assay allows for platelet antibody detection widely. However, preparation of fresh platelets with HLA-I and human platelet antigens (HPA)1-5,15 genotyped as target cells is inconvenient and fresh platelets have a short shelf life. In this study, the lyophilised human platelets for antibody detection in SPRCA were prepared. Firstly, platelets were resuspended in lyophilisation buffer and freeze-dried. Then the characteristics of lyophilised platelet were analysed. Rehydrated platelets were recovered with a mean rate of 80.91% ± 2.87%, and still retained spherical morphology. Indirect flow cytometry showed that glycoproteins IIb/IIIa, Ia/IIa, Ib/IX, IV, CD109, and HLA class I were present on the surface of the lyophilised platelets at a comparable level to that of fresh platelets. The consistent results obtained with WHO reference reagents containing anti-HPA-1a, anti-HPA-3a, and anti-HPA-5b, as well as clinical samples from the same donors containing anti-HLA antibodies when reacting with lyophilised versus fresh platelets confirmed good antigenicity preservation of platelets after freeze-drying. Further investigation showed that the lyophilised platelets could be stored at 2-8 °C for up to 14 months and the reconstituted suspension was stable for 48 h. Therefore, lyophilised platelets can be a convenient alternative to fresh platelets to use for anti-platelet antibody detection in SPRCA tests.

FLAIR vascular hyperintensity-DWI mismatch most likely to benefit from recanalization and good outcome after stroke.

We assessed the value of fluid-attenuated inversion recovery vascular hyperintensity (FVH)-diffusion-weighted imaging (DWI) mismatch in predicting revascularization and functional outcome in stroke patients with large vessel occlusion (LVO) after endovascular thrombectomy (EVT).Seventy-two acute stroke patients within 6 hour of stroke onset who received EVT were enrolled. FVH-DWI mismatch, revascularization (mTICI score), functional outcome (mRS at 3 months) and other clinical data were collected. Statistical analysis was performed to predict revascularization and functional outcome after stroke.Twenty-nine patients (60.42%) had FVH-DWI mismatch in patients with complete revascularization and 8 patients (33.33%) had FVH-DWI mismatch in patients with no/partial revascularization, and there was significant difference in 2 groups (t = 4.698; P = .045). The good functional outcome group (37/72; 51.39%) had higher FVH score (4.38 ±â€Š1.53 vs 3.49 ±â€Š1.52; t = 2.478; P = .016), higher FVH-DWI mismatch ratio (81.25% vs 48.15%; t = 10.862; P = .002), higher complete revascularization ratio (83.78% vs 48.57%; t = 10.036; P = .002) than the poor functional outcome group (35/72; 48.61%). Spearman's rank correlation analysis revealed that FVH-DWI mismatch was positively correlated with complete revascularization (r = 0.255; P = .030) and good functional outcome (r = 0.417; P = .000). Multivariable logistic regression analysis demonstrated that FVH-DWI mismatch was independently associated with complete revascularization (OR, 0.328; 95% CI, 0.117-0.915; P = .033) and good functional outcome (OR, 0.169; 95% CI, 0.061-0.468; P = .001).Assessments of FVH-DWI mismatch before thrombectomy therapy might be useful for predicting revascularization and functional outcome in stroke patients with LVO.