Transformation of A1/A2 Astrocytes Participates in Brain Ischemic Tolerance Induced by Cerebral Ischemic Preconditioning via Inhibiting NDRG2.

Cerebral ischemic preconditioning (CIP) has been shown to improve brain ischemic tolerance against subsequent lethal ischemia. Reactive astrocytes play important roles in cerebral ischemia-reperfusion. Recent studies have shown that reactive astrocytes can be polarized into neurotoxic A1 phenotype (C3d) and neuroprotective A2 phenotype (S100A10). However, their role in CIP remains unclear. Here, we focused on the role of N-myc downstream-regulated gene 2 (NDRG2) in regulating the transformation of A1/A2 astrocytes and promoting to brain ischemic tolerance induced by CIP. A Sprague Dawley rat model of middle cerebral artery occlusion/reperfusion (MCAO/R) was used. Rats were divided into the following six groups: (1) sham group; (2) CIP group: left middle cerebral artery was blocked for 10 min; (3) MCAO/R group: left middle cerebral artery was blocked for 90 min; (4) CIP + MCAO/R group: CIP was performed 72 h before MCAO/R; (5) AAV-NDRG2 + CIP + MCAO/R group: adeno-associated virus (AAV) carrying NDRG2 was administered 14 days before CIP + MCAO/R; (6) AAV-Ctrl + CIP + MCAO/R group: empty control group. The rats were subjected to neurological evaluation 24 h after the above treatments, and then were sacrificed for 2, 3, 5-triphenyltetraolium chloride staining, thionin staining, immunofluorescence and western blot analysis. In CIP + MCAO/R group, the neurological deficit scores decreased, infarct volume reduced, and neuronal density increased compared with MCAO/R group. Notably, CIP significantly increased S100A10 expression and the number of S100A10+/GFAP+ cells, and also increased NDRG2 expression. MCAO/R significantly decreased S100A10 expression and the number of S100A10+/GFAP+ cells yet increased C3d expression and the number of C3d+/GFAP+ cells and NDRG2 expression, and these trends were reversed by CIP + MCAO/R. Furthermore, over-expression of NDRG2 before CIP + MCAO/R, the C3d expression and the number of C3d+/GFAP+ cells increased, while S100A10 expression and the number of S100A10+/GFAP+ cells decreased. Meanwhile, over-expression of NDRG2 blocked the CIP-induced brain ischemic tolerance. Taken together, these results suggest that CIP exerts neuroprotective effects against ischemic injury by suppressing A1 astrocyte polarization and promoting A2 astrocyte polarization via inhibiting NDRG2 expression.

Second Near-Infrared Macrophage-Biomimetic Nanoprobes for Photoacoustic Imaging of Neuroinflammation.

Neuroinflammation is a significant pathological event involving the neurodegenerative process associated with many neurological disorders. Diagnosis and treatment of neuroinflammation in its early stage are essential for the prevention and management of neurological diseases. Herein, we designed macrophage membrane-coated photoacoustic (PA) probes (MSINPs), with targeting specificities based on naturally existing target-ligand interactions for the early diagnosis of neuroinflammation. The second near-infrared dye, IR1061, was doped into silica as the core and was encapsulated with a macrophage membrane. In vitro as well as in vivo, the MSINPs could target inflammatory cells via the inflammation chemotactic effect. PA imaging was used to trace the MSINPs in a neuroinflammation mouse model and showed a great targeted effect of MSINPs in the prefrontal cortex. Therefore, the biomimetic nanoprobe prepared in this study offers a new strategy for PA molecular imaging of neuroinflammation, which can enhance our understanding of the evolution of neuroinflammation in specific brain regions.

Shear wave elastography-derived scoring system: application in the detection, subdivision and evaluation of systemic sclerosis.

OBJECTIVES: To locate the most valuable sites for shear wave elastography (SWE) evaluation and to develop a clinically applicable scoring system based on SWE for systemic sclerosis (SSc) and to verify the accuracy for detection and subdivision and the correlation by modified Rodnan total skin score (mRTSS). METHODS: SSc patients with limited cutaneous SSc (lcSSc) and diffuse cutaneous SSc (dcSSc) and symptomatic other rheumatic diseases (ORD) patients were included in this cross-sectional study. We assessed the skin stiffness at forehead, chest, abdomen, and bilateral fingers, hands, forearm, arms, thighs, legs, and feet, by palpation and SWE. Logistic regression was used to screen the most valuable sites for detection of SSc and subdivision of lcSSc and dcSSc, on which a scoring system was developed and verified. RESULTS: A total of 49 lcSSc, 51 dcSSc, and 36 ORD patients were included. The SWE-derived scoring system, including finger, hand, foot, arm, chest, and abdomen, reached a sensitivity and specificity of 80.0% and 94.4%, respectively, for diagnosing SSc at the cut-off value >24. The scoring system, including arm, chest, and abdomen, reached a sensitivity of 72.5% and specificity of 98.0% for subdividing dcSSc at the cut-off value >11. The kappa coefficient between the SWE-derived diagnosis and clinical diagnosis was 0.636 (P<0.001). The SWE-derived total scores of six sites had a strong correlation with mRTSS (r=0.757, p<0.001). CONCLUSIONS: The SWE-derived scoring system can be valuable in detection and evaluation of SSc in clinical application.

Spatial Diffusion of Potentially Toxic Elements in Soils around Non-ferrous Metal Mines.

This study focuses on the diffusion patterns of principal ore-forming elements (Pb and Zn) and associated elements (Cd, Cu, Cr, and As) in lead-zinc ore. Sampling points in upwind and downwind directions of lead-zinc ore areas at various densities (1 N/km2 - 4 N/km2) were categorized. This study analyzed the statistical relationship between the content of PTEs in the soil around lead-zinc ore and the source strength and dominant wind direction, constructed one-dimensional and two-dimensional diffusion model, and simulated the EER scope caused by PTEs. The findings indicate that: (1) concerning source strength, the content of PTEs in soils of high-density ore aggregation areas is significantly higher than in low-density ore aggregation areas. However, the impact of source strength decreases with decreasing ore grade, with a difference in Pb content of 1.71 times among principal ore-forming elements and almost consistent Cd content among associated elements. (2) Regarding the transport pathways, for most PTEs, the inverse proportion coefficients downwind are higher than upwind, approximately 1.18 to 3.63 times, indicating greater migration distances of PTEs downwind due to atmospheric dispersion. (3) By establishing a two-dimensional risk diffusion model, the study simulates the maximum radius of risk diffusion (r=5.7km), the 50% probability radius (r=3.1km), and the minimum radius (r=0.8km) based on the maximum, median, and minimum values statistically obtained from the EER. This study provides a scientific basis for implementing preventive measures for PTEs accumulation in soil within different pollution ranges. Different risk prevention and control measures should be adopted for PTEs accumulation in soil within the three ranges after cutting off pollution sources. Subsequent research should further investigate the impact and contribution of atmospheric transmission and surface runoff on the diffusion of PTEs in areas with high risk near lead-zinc ore.

Relationship between subclavian artery stenosis lesions and posterior circulation infarction: A preliminary study.

OBJECTIVE: To investigate the correlation between subclavian steal syndrome and posterior circulation infarction using magnetic resonance imaging. METHODS: A total of 294 patients diagnosed with subclavian steal syndrome using carotid Doppler ultrasonography were retrospectively included. According to the magnetic resonance imaging results, they were divided into posterior circulation infarction group and non- posterior circulation infarction group. Clinical indicators and carotid Doppler ultrasound parameters of patients were collected, and they were screened to establish a multiple logistic regression model. Receiver operating characteristic curve analysis of the established multiple logistic regression model was performed, and the area under the curve was calculated to evaluate the predictive efficiency of the model. RESULTS: After statistical analysis of all parameters of the two groups of patients, a total of 10 parameters were included in multiple logistic regression to establish a model. The results showed a correlation between posterior circulation infarction and subclavian artery occlusion, grade III subclavian steal syndrome, gender, vulnerable plaques, National Institutes of Health Stroke Scale score, and age. After the receiver operating characteristic curve analysis of the model, the area under the curve for the multiple logistic regression model was 0.773. CONCLUSION: The multiparameter composite model based on clinical baseline data and carotid Doppler ultrasonography parameters can effectively predict posterior circulation infarction and offer novel insight for clinical diagnosis.

lncRNA-Gm5532 regulates osteoclast differentiation through the miR-125a-3p/TRAF6 axis.

Long noncoding RNAs (lncRNAs) are important regulators of bone metabolism. In this study, lncRNA microarray analysis was used to identify differentially expressed lncRNAs in differentiated osteoclasts. lncRNA-Gm5532 is highly expressed during osteoclast differentiation. lncRNA-Gm5532 knockdown impairs osteoclast formation and bone resorption. Mechanistic experiments show that lncRNA-Gm5532 functions as a competing endogenous RNA (ceRNA) and acts as a sponge for miR-125a-3p, which promotes TNF receptor-associated factor 6 (TRAF6) expression. miR-125a-3p mimics suppress osteoclast differentiation and TAK1/NF-κB/MAPK signaling. The miR-125a-3p inhibitor reverses the negative effects of siGm5532 on osteoclast differentiation. In summary, our study reveals that lncRNA-Gm5532 functions as an activator in osteoclast differentiation by targeting the miR-125a-3p/TRAF6 axis, making it a novel biomarker and potential therapeutic target for osteoporosis.

CXCL13 variant predicts pegylated-interferon α treatment response in HBeAg-positive chronic hepatitis B patients.

As a key immune cytokine, C-X-C motif chemokine ligand 13 (CXCL13) has been reported to play critical roles in immune control of hepatitis B virus (HBV) infection. We aimed to screen single-nucleotide polymorphisms (SNPs) of CXCL13 for predicting response to pegylated interferon-alpha (PegIFNα) therapy of chronic hepatitis B (CHB) patients. Two independent cohorts with a total of 945 (Cohort 1, n = 238; Cohort 2, n = 707) hepatitis B e antigen (HBeAg)-positive CHB patients treated with PegIFNα were enrolled in this retrospective cohort study. Eight candidate SNPs were selected through gene-wide SNP mining within or flanking CXCL13. A polygenic score (PGS) was utilized to assess the cumulative effects of multiple SNPs. The associations of candidate SNPs and PGS with combined response (CR, defined as the combination of HBeAg seroconversion and HBV DNA level <3.3log10 IU/mL) and hepatitis B surface antigen (HBsAg) level were evaluated. Among the eight candidate SNPs, rs76084459 which is located at upstream of CXCL13 was significantly associated with both CR (p = 0.002) and HBsAg level (p = 0.015). A PGS integrating CXCL13_rs76084459 and five other SNPs, which were previously identified as predictors of PegIFNα treatment response, was further strongly correlated with CR (p = 1.759 × 10-10 ) and HBsAg level (p = 0.004). This study demonstrated that CXCL13_rs76084459 can predict response to PegIFNα treatment of HBeAg-positive CHB patients. A PGS composed of six SNPs including CXCL13_rs76084459 predicts PegIFNα treatment response better.

Ultrasound-based detection of inflammatory changes for early diagnosis and risk model construction of psoriatic arthritis.

OBJECTIVES: Psoriatic arthritis (PsA) is the most prevalent coexisting condition associated with psoriasis. Early-stage PsA patients always present unspecific and subtle clinical manifestations causing delayed diagnosis and leading to unfavorable health outcomes. The application of ultrasound enables precise identification of inflammatory changes in musculoskeletal structures. Hence, we constructed ultrasound models to aid early diagnosis of PsA. METHODS: This is a cross-sectional study carried out in the Department of Dermatology at West China Hospital (October 2018-April 2021). All participants underwent thorough ultrasound examinations. Participants were classified into the under 45 group (18 ≤ age ≤ 45) and over 45 group (age > 45) and then randomly grouped into derivation and test cohort (7:3). Univariable logistic regression, least absolute shrinkage and selection operator, and multivariable logistic regression visualized by nomogram were conducted in order. Receiver operating characteristic (ROC), calibration curve, decision curve analysis (DCA), and clinical impact curve analysis (CICA) were performed for model verification. RESULTS: A total of 1256 participants were included, with 767 participants in the under 45 group and 489 in the over 45 group. Eleven and sixteen independent ultrasonic variables were finally selected to construct the under 45 and over 45 model with the area under the ROC of 0.83 (95%CI: 0.78-0.87) and 0.83 (95%CI: 0.78-0.88) in derivation cohort, respectively. The DCA and CICA analyses showed good clinical utility of the two models. CONCLUSION: The implementation of the ultrasound models could streamline the diagnostic process for PsA in psoriasis patients, leading to expedited evaluations while maintaining diagnostic accuracy.

Klotho Upregulation via PPARγ Contributes to the Induction of Brain Ischemic Tolerance by Cerebral Ischemic Preconditioning in Rats.

Cerebral ischemic preconditioning (CIP)-induced brain ischemic tolerance protects neurons from subsequent lethal ischemic insult. However, the specific mechanisms underlying CIP remain unclear. In the present study, we explored the hypothesis that peroxisome proliferator-activated receptor gamma (PPARγ) participates in the upregulation of Klotho during the induction of brain ischemic tolerance by CIP. First we investigated the expression of Klotho during the brain ischemic tolerance induced by CIP. Lethal ischemia significantly decreased Klotho expression from 6 h to 7 days, while CIP significantly increased Klotho expression from 12 h to 7 days in the hippocampal CA1 region. Inhibition of Klotho expression by its shRNA blocked the neuroprotection induced by CIP. These results indicate that Klotho participates in brain ischemic tolerance by CIP. Furthermore, we tested the role of PPARγ in regulating Klotho expression after CIP. CIP caused PPARγ protein translocation to the nucleus in neurons in the CA1 region of the hippocampus. Pretreatment with GW9962, a PPARγ inhibitor, significantly attenuated the upregulation of Klotho protein and blocked the brain ischemic tolerance induced by CIP. Taken together, it can be concluded that Klotho upregulation via PPARγ contributes to the induction of brain ischemic tolerance by CIP.

NRF2 is essential for iron-overload stimulated osteoclast differentiation through regulation of redox and iron homeostasis.

Iron overload enhances osteoclastic bone resorption and induces osteoporosis. Excess iron is highly toxic. The modulation of redox and iron homeostasis is critical for osteoclast differentiation under iron-overload condition. Nuclear factor erythroid 2-related factor 2 (NRF2) is a transcription factor that regulates the cellular defense against oxidative stress and iron overload through the expression of genes involved in anti-oxidative processes and iron metabolism. Our studies demonstrated that NRF2 activation was suppressed during osteoclast differentiation. Under iron-overload condition, NRF2 and its mediated antioxidant and iron metabolism genes were activated by reactive oxygen species (ROS), which enhanced antioxidant capability. NRF2 mediated the upregulation of iron exporter ferroportin 1 (FPN1) and iron storage protein ferritin, contributing to decreased levels of intracellular iron. Nfe2l2 knockout induced oxidative stress and promoted osteoclast differentiation under normal condition, but induced ferroptosis under iron-overload condition. Nfe2l2 knockout alleviated iron overload induced bone loss by inhibiting osteoclast differentiation. Our results suggest that NRF2 activation is essential for osteoclast differentiation by enhancing antioxidant capability and reducing intracellular iron under iron-overload condition. Targeting NRF2 to induce ferroptosis could be a potential therapy for the treatment of iron-overload induced osteoporosis.

Association between endometriosis and metabolic syndrome: a cross-sectional study based on the National Health and Nutrition Examination Survey data.

BACKGROUND: Endometriosis has been reported to be associated with metabolism-related diseases, such as hypercholesterolemia and diabetes, while no studies have reported the association between endometriosis and metabolic syndrome. OBJECTIVE: This study aims to explore the association between endometriosis and metabolic syndrome. Also, the association between endometriosis and single metabolic syndrome indicator was explored. METHODS: This was a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES). A total of 2389 participants were finally included for analysis, with 2212 in the non-endometriosis group and 177 in the endometriosis group. Association between endometriosis and metabolic syndrome was explored using multivariate logistic regression analysis, with results shown as odds ratio (OR) with 95% confidence intervals (95%CI). Association between endometriosis and single metabolic syndrome indicator was explored using multivariate liner regression analysis. RESULTS: After adjusting age, race, education level, family poverty to income ratio (PIR), smoking, age at menarche, gravidity, menopause, female hormones use, and dyslipidemia drug use, endometriosis was associated with the higher odds of metabolic syndrome (OR = 1.55, 95%CI: 1.01-2.35). Further adjusting hysterectomy or oophorectomy, we found the similar association despite no statistical significance (OR = 1.47, 95%CI: 0.96-2.25). Moreover, we found endometriosis was associated with the high level of triglyceride (TG) (ß = 0.38, 95%CI: 0.06-0.70). CONCLUSIONS: Our study found the association between endometriosis and metabolic conditions, indicating that metabolic conditions of endometriosis women should be focused, and monitoring the blood lipid levels may be significant in decreasing the risk of metabolic syndrome.

Rutaecarpine attenuates high glucose-induced damage in AC16 cardiomyocytes by suppressing the MAPK pathway.

Diabetic cardiomyopathy is a common diabetic complication, resulting in heart failure. Rutaecarpine is an active compound with cardiovascular protective effects. However, the function of rutaecarpine in diabetic cardiomyopathy is largely unknown. The aim of this research was to study the effect and action mechanism of rutaecarpine in high glucose (HG)-induced cardiomyocyte damage. The overlapping genes of diabetic cardiomyopathy and rutaecarpine were analyzed according to GeneCards, DisGeNet, and SwissTargetPrediction. Cell damage was investigated by determining apoptosis, oxidative stress, and inflammatory response in HG-stimulated AC16 cells. The expression of proteins involved in the mitogen-activated protein kinase (MAPK) signaling was measured using Western blotting. Totally seven overlapping genes of diabetic cardiomyopathy and rutaecarpine were screened out and predicted to be associated with the MAPK signaling. Rutaecarpine protected against HG-induced cardiomyocyte damage by enhancing cell viability and reducing cell apoptosis, caspase-3 activity, and lactate dehydrogenase (LDH) release. Rutaecarpine mitigated HG-induced oxidative stress in cardiomyocytes through decreasing reactive oxygen species (ROS) formation and malondialdehyde (MDA) level and elevating superoxide dismutase (SOD) activity and glutathione peroxidase (GSH-Px) level. Rutaecarpine alleviated HG-induced inflammatory response via reducing the level of interleukin (IL)-1ß, IL-6, tumor necrosis factor (TNF)-α, and IL-8. Moreover, rutaecarpine inhibited HG-induced activation of the MAPK pathway. Treatment with MAPK signaling agonist reversed the suppressive effect of rutaecarpine on HG-induced damage. In conclusion, rutaecarpine alleviated HG-induced cardiomyocyte damage through decreasing apoptosis, oxidative stress, and inflammatory response by inactivating the MAPK pathway.

Short term exposure to polystyrene nanoplastics in mice evokes self-regulation of glycolipid metabolism.

With the detection of nano-plastics (NPs) in daily essentials and drinking water, the potential harm of NPs to human health has become the focus of global attention. Studies have shown that long term exposure to NPs can lead to disorders of glucose and lipid metabolism in organisms, while the effects of short term exposure are rarely reported. Moreover, environmental factors cause the aging of NPs, and it is unclear whether this has an effect on their toxicity. In this study, we use 100 nm polystyrene (PS) NPs and ultraviolet (UV) aging PS (aPS) NPs to gavage mice for 7 days at an exposure dose of 50 mg/kg/day. To evaluate the effects of exposure on mice hepatic glucose lipid metabolism, we performed blood biochemical, pathological and metabolomic analyses. The results showed that exposure to PS NPs and aPS NPs increased serum glucose, disrupted serum lipoprotein levels, and up-regulated the expression levels of phosphatidylinositol 3-kinase (PI3K)/ phosphoprotein kinase B (p-AKT)/Glucose transporter 4 (GLUT4) proteins in the glucose metabolism pathway. The expression levels of key proteins sterol regulatory element binding protein-1 (SREBP-1)/peroxisome proliferator-activated receptor-γ (PPARγ)/adipose triglyceride lipase (ATGL) in the lipid metabolism signaling pathway were significantly increased. These findings suggest that short term exposure to PS NPs and aPS NPs induces glycolipid metabolism disturbance in mice, which may subsequently awaken the mice to self-regulate the serum levels of various lipoproteins and the expression of related key proteins. Compared with PS NPs, the aPS NPs interfered more strongly with glucose metabolism, and the corresponding self-regulation in mice was also more obvious. These findings not only provide a basis for environmental factors to increase the health risk of NPs but also provided a reference for the selection of test substances for further studies on the toxicity of NPs.

Integrated testis transcriptome and whole genome analysis of sexual maturity in Large White and Tongcheng pigs.

Testicular development and spermatogenesis play critical roles in male fertility and sexual maturation. To explore the genetic basis and key genes related to sexual maturity, we measured serum testosterone content and analysed testis tissue sections of Large White (LW) and Tongcheng (TC) boars at an immature age. We then screened differentially expressed genes (DEGs) in testis development in both breeds using RNA-seq. Finally, we analysed the selection signatures of both breeds to investigate which DEGs were subjected to positive selection. Our findings showed that serum testosterone contents in TC pigs (~4 ng/mL) were much higher than those in LW pigs (<0.95 ng/mL). Haematoxylin and eosin staining of testicular sections showed that the cross-sectional areas and perimeters of the seminiferous tubules in TC testes were larger and longer than those in LW pigs. A total of 5068 DEGs were selected by filtering criteria of q value <0.05 and |log2 (fold change)| ≥ 1. Gene Ontology analysis revealed that 250 genes were enriched in 11 biological process categories involved in sexual maturity. Most candidate genes, including TRIP13, NR6A1, STRA8, PCSK4, ACRBP, TSSK1B and TSSK6, were under positive selection. These results provide a better understanding of the genetic basis for testicular maturation and are useful for enhancing boar reproductive traits through molecular breeding.

Time-dependent cardiac structural and functional changes after kidney transplantation: a multi-parametric cardiac magnetic resonance study.

OBJECTIVES: To map time-dependent cardiac structural and functional change patterns after renal transplantation (KT) using cardiac magnetic resonance (CMR). METHODS: Fifty-three patients with pre-KT and post-KT CMR exams were retrospectively analyzed. Patients were divided into three groups according to the time of post-KT CMR: group 1 (3 months post-KT, n = 16), group 2 (6 months post-KT, n = 21), and group 3 (over 9 months post-KT, n = 16). Twenty-one age- and sex-matched healthy controls (HC) were recruited for the study. CMR-derived left ventricular (LV) volumes, LV mass index (LVMi), LV ejection fraction (LVEF), global radial strain (GRS), global circumferential strain (GCS), global longitudinal strain (GLS), and native T1 value were compared. The association between the changes of CMR parameters was assessed. RESULTS: LVMi post-KT decreased in groups 2 (p < 0.001) and 3 (p = 0.004) but both groups had higher LVMi values compared to HC (both p < 0.001). GLS post-KT was decreased in group 1 (p = 0.021), but slightly increased in group 2 (p = 0.728) and group 3 (p = 0.100) without significant difference. GLS post-KT in group 3 was not different from HC (p = 0.104). LVEF, GRS, and GCS post-KT in groups 2 and 3 significantly increased and showed no significant difference from HC. The post-KT native T1 value in all three groups significantly decreased; however, no group showed any significant difference from HC. The change of LVEF was associated with the change of GCS, GRS, and GLS. CONCLUSIONS: Although GRS, GCS, GLS, and native T1 values reversed to normal level, LVMi remained impaired in median 14 months after KT. KEY POINTS: • Kidney transplantation has favorable effects on cardiac structure and function. • In a median 14 months of follow-up after KT, left ventricle strain and native T1 value reversed to normal level while LV mass index (LVMi) did not. Left ventricular hypertrophy may help to explain why KT recipients are still at increased cardiovascular risk. • The reason for the decrease of native T1 value after KT may be more than myocardial fibrosis and needs to be further studied.

A novel insight into mechanism of derangement of coagulation balance: interactions of quantum dots with coagulation-related proteins.

BACKGROUND: Quantum dots (QDs) have gained increased attention for their extensive biomedical and electronic products applications. Due to the high priority of QDs in contacting the circulatory system, understanding the hemocompatibility of QDs is one of the most important aspects for their biosafety evaluation. Thus far, the effect of QDs on coagulation balance haven't been fully understood, and limited studies also have yet elucidated the potential mechanism from the perspective of interaction of QDs with coagulation-related proteins. RESULTS: QDs induced the derangement of coagulation balance by prolonging the activated partial thromboplastin time and prothrombin time as well as changing the expression levels of coagulation and fibrinolytic factors. The contact of QDs with PTM (prothrombin), PLG (plasminogen) and FIB (fibrinogen) which are primary coagulation-related proteins in the coagulation and fibrinolysis systems formed QDs-protein conjugates through hydrogen-bonding and hydrophobic interaction. The affinity of proteins with QDs followed the order of PTM > PLG > FIB, and was larger with CdTe/ZnS QDs than CdTe QDs. Binding with QDs not only induced static fluorescence quenching of PTM, PLG and FIB, but also altered their conformational structures. The binding of QDs to the active sites of PTM, PLG and FIB may promote the activation of proteins, thus interfering the hemostasis and fibrinolysis processes. CONCLUSIONS: The interactions of QDs with PTM, PLG and FIB may be key contributors for interference of coagulation balance, that is helpful to achieve a reliable and comprehensive evaluation on the potential biological influence of QDs from the molecular level.

Automatic segmentation model of intercondylar fossa based on deep learning: a novel and effective assessment method for the notch volume.

BACKGROUND: Notch volume is associated with anterior cruciate ligament (ACL) injury. Manual tracking of intercondylar notch on MR images is time-consuming and laborious. Deep learning has become a powerful tool for processing medical images. This study aims to develop an MRI segmentation model of intercondylar fossa based on deep learning to automatically measure notch volume, and explore its correlation with ACL injury. METHODS: The MRI data of 363 subjects (311 males and 52 females) with ACL injuries incurred during non-contact sports and 232 subjects (147 males and 85 females) with intact ACL were retrospectively analyzed. Each layer of intercondylar fossa was manually traced by radiologists on axial MR images. Notch volume was then calculated. We constructed an automatic segmentation system based on the architecture of Res-UNet for intercondylar fossa and used dice similarity coefficient (DSC) to compare the performance of segmentation systems by different networks. Unpaired t-test was performed to determine differences in notch volume between ACL-injured and intact groups, and between males and females. RESULTS: The DSCs of intercondylar fossa based on different networks were all more than 0.90, and Res-UNet showed the best performance. The notch volume was significantly lower in the ACL-injured group than in the control group (6.12 ± 1.34 cm3 vs. 6.95 ± 1.75 cm3, P < 0.001). Females had lower notch volume than males (5.41 ± 1.30 cm3 vs. 6.76 ± 1.51 cm3, P < 0.001). Males and females who had ACL injuries had smaller notch than those with intact ACL (p < 0.001 and p < 0.005). Men had larger notches than women, regardless of the ACL injuries (p < 0.001). CONCLUSION: Using a deep neural network to segment intercondylar fossa automatically provides a technical support for the clinical prediction and prevention of ACL injury and re-injury after surgery.

LncRNA LOXL1-AS1 Facilitates the Oncogenic Character in Cervical Cancer by the miR-526b-5p /LYPLA1 Axis.

Increasing reports demonstrate that long noncoding RNAs participate in the regulation of numerous malignancies, cervical cancer included. Although lncRNA LOXL1 antisense RNA 1 has been commonly accepted to be an oncogene in many cancers. Here, the role of LOXL1-AS1 in CC still need to be explored. In this study, LOXL1-AS1 was found elevated in CC tissues and cells. LOXL1-AS1 depletion restrained CC cell proliferation, migration, invasion, and angiogenesis in vivo. Furthermore, we found that LOXL1-AS1 upregulated Lysophospholipase 1 expression via sequestering miR-526b-5p. Rescue assays revealed that overexpression of LYPLA1 reversed the LOXL1-AS1 silencing-induced inhibitory effects on the malignant phenotypes of CC cells. To conclude, this study showed that LOXL1-AS1 facilitates cellular process in CC via functioning as a miR-526b-5p sponge.

Portable electrochemical micro-workstation platform for simultaneous detection of multiple Alzheimer's disease biomarkers.

Alzheimer's disease, as a most prevalent type of dementia, is quickly becoming one of the most expensive, lethal, and burdening diseases of this century. Though there are still no efficient therapies, early diagnosis and intervention are important directive significance to clinical works. Here, we develop a portable electrochemical micro-workstation platform consisting of an electrochemical micro-workstation and integrated electrochemical microarray for simultaneously detecting multiple AD biomarkers including Aß40, Aß42, T-tau, and P-tau181 in serum. The integrated electrochemical microarray is mainly used for droplet sample manipulation and signal generation. The micro-workstation can regulate signals and transfer the signals to a smartphone by Bluetooth embedded inside. This portable electrochemical micro-workstation platform exhibits excellent analysis performance. The LODs for Aß40, Aß42, T-tau, and P-tau181 are 0.125 pg/mL, 0.089 pg/mL, 0.142 pg/mL, and 0.176 pg/mL, respectively, which satisfies the needs of detecting AD biomarkers in serum. The combination of portable micro-workstation and integrated electrochemical microarray provides a promising strategy for the early diagnosis of Alzheimer's disease and personal healthcare.

Genetic Mapping of Behavioral Traits Using the Collaborative Cross Resource.

The complicated interactions between genetic background, environment and lifestyle factors make it difficult to study the genetic basis of complex phenotypes, such as cognition and anxiety levels, in humans. However, environmental and other factors can be tightly controlled in mouse studies. The Collaborative Cross (CC) is a mouse genetic reference population whose common genetic and phenotypic diversity is on par with that of humans. Therefore, we leveraged the power of the CC to assess 52 behavioral measures associated with locomotor activity, anxiety level, learning and memory. This is the first application of the CC in novel object recognition tests, Morris water maze tasks, and fear conditioning tests. We found substantial continuous behavioral variations across the CC strains tested, and mapped six quantitative trait loci (QTLs) which influenced these traits, defining candidate genetic variants underlying these QTLs. Overall, our findings highlight the potential of the CC population in behavioral genetic research, while the identified genomic loci and genes driving the variation of relevant behavioral traits provide a foundation for further studies.