Methanol biotransformation toward high-level production of fatty acid derivatives by engineering the industrial yeast Pichia pastoris.

Methanol-based biorefinery is a promising strategy to achieve carbon neutrality goals by linking CO2 capture and solar energy storage. As a typical methylotroph, Pichia pastoris shows great potential in methanol biotransformation. However, challenges still remain in engineering methanol metabolism for chemical overproduction. Here, we present the global rewiring of the central metabolism for efficient production of free fatty acids (FFAs; 23.4 g/L) from methanol, with an enhanced supply of precursors and cofactors, as well as decreased accumulation of formaldehyde. Finally, metabolic transforming of the fatty acid cell factory enabled overproduction of fatty alcohols (2.0 g/L) from methanol. This study demonstrated that global metabolic rewiring released the great potential of P. pastoris for methanol biotransformation toward chemical overproduction.

Optical ReLU-like activation function based on a semiconductor laser with optical injection.

Artificial neural networks usually consist of successive linear multiply-accumulate operations and nonlinear activation functions. However, most optical neural networks only achieve the linear operation in the optical domain, while the optical implementation of activation function remains challenging. Here we present an optical ReLU-like activation function (with 180° rotation) based on a semiconductor laser subject to the optical injection in an experiment. The ReLU-like function is achieved in a broad regime above the Hopf bifurcation of the injection-locking diagram and is operated in the continuous-wave mode. In particular, the slope of the activation function is reconfigurable by tuning the frequency difference between the master laser and the slave laser.

Serum angiopoietin-2/angiopoietin-1 ratio is associated with cardiovascular and all-cause mortality in peritoneal dialysis patients: a prospective cohort study.

INTRODUCTION: Our objective was to examine the factors associated with the serum angiopoietin-2/angiopoietin-1 (Angpt-2/Angpt-1) ratio in peritoneal dialysis (PD) patients and to investigate the association between Angpt-2/Angpt-1 ratio and cardiovascular and all-cause mortality. METHODS: Patients on PD who were prevalent between January 2014 and April 2015 in the center of Renji Hospital were enrolled. At the time of enrollment, serum and dialysate samples were collected to detect biochemical parameters, serum angiopoietin-2 and angiopoietin-1 levels. Patients were dichotomized into two groups according to a median of Angpt-2/Angpt-1 ratio and followed up prospectively until the end of the study. RESULTS: A total of 325 patients were enrolled, including 168 males (51.7%) with a mean age of 56.9 ± 14.2 years and a median PD duration of 32.4 (9.8-55.9) months. Multiple linear regression showed pulse pressure (ß = 0.206, p < .001) and high-sensitivity C-reactive protein (hs-CRP) (ß = 0.149, p = .011) were positively correlated with serum Angpt-2/Angpt-1 ratio, while residual renal function (RRF) (ß= -0.219, p < .001) was negatively correlated with serum Angpt-2/Angpt-1 ratio. Multivariate Cox regression analysis showed the high serum Angpt-2/Angpt-1 ratio was an independent predictor of cardiovascular mortality (hazard ratio (HR)=2.467, 95% confidence interval (CI) 1.243-4.895, p = .010) and all-cause mortality (HR = 1.486, 95%CI 1.038-2.127, p = .031). In further subgroup analysis by gender, a significant association was shown in high Angpt-2/Angpt-1 ratio with all-cause mortality in male (p < .05), but not in female patients (p>.05). CONCLUSIONS: High Angpt-2/Angpt-1 ratio is an independent risk factor for cardiovascular and all-cause mortality in PD patients.

Asynchronous photonic time-delay reservoir computing.

Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to construct a large number of virtual neurons in the neural network. The clock cycle of the computing network is usually synchronous with the delay time of the feedback loop, which substantially constrains the flexibility of hardware implementations. This work shows an asynchronous reservoir computing network based on a semiconductor laser with an optical feedback loop, where the clock cycle (20 ns) is considerably different to the delay time (77 ns). The performance of this asynchronous network is experimentally investigated under various operation conditions. It is proved that the asynchronous reservoir computing shows highly competitive performance on the prediction task of Santa Fe chaotic time series, in comparison with the synchronous counterparts.

Exploration of Interstitial Fibrosis in Chronic Kidney Disease by Diffusion-Relaxation Correlation Spectrum MR Imaging: A Preliminary Study.

BACKGROUND: Renal interstitial fibrosis is one of the most common pathways in the progression of chronic kidney disease (CKD). Noninvasive evaluation of interstitial fibrosis would help monitoring CKD progression and prognosis prediction. PURPOSE: To evaluate the severity of renal interstitial fibrosis by diffusion-relaxation correlation spectrum imaging (DR-CSI). STUDY TYPE: Prospective. SUBJECTS: Forty patients with CKD and 10 healthy controls (average age 49.2 ± 14.8 years, 18 females). FIELD STRENGTH/SEQUENCE: 3-T, DR-CSI with 36 axial spin-echo echo-planar diffusion-weighted images (6 b-values, 6 echo times). ASSESSMENT: Interstitial fibrosis level (IFL) was assessed from biopsy results (IFL = 1, fibrosis percentage <25%, defined as mild; IFL = 2, 25%-50%, moderate; IFL = 3, >50%, severe). Estimated glomerular filtration rate (eGFR) was calculated using serum creatinine. The regions of interest included cortex for both kidneys. The diffusivity-T2 spectrum was assessed considering three compartments (threshold: T2 30-40 msec, diffusivity 5-9 µm2 /msec, according to visible peaks): A (low diffusivity, short T2), B (low diffusivity, long T2), and C (high diffusivity). Volume fractions Vi (i = A, B, C) were calculated. STATISTICAL TESTS: Intra-class coefficient (ICC, >0.6 as good) to assess inter-reader agreement of DR-CSI Vi . Spearman's correlation to assess relationship of Vi to IFL and eGFR. Receiver operating characteristic analyses with the area under the curve (AUC) to discriminate patients with moderate-severe fibrosis from mild ones. Statistical significance criteria: P-value <0.05. RESULTS: ICCs were good for all Vi . Correlations were found between IFL and VB (r = 0.424, significant) and VC (r = -0.400, significant), and between eGFR and VB (r = -0.303, P = 0.058) and VC (r = 0.487, significant). Regarding VB and VC , the AUCs were 0.903 and 0.824. DATA CONCLUSION: DR-CSI help distinguish patients with moderate or severe renal interstitial fibrosis from mild ones. EVIDENCE LEVEL: 2 Technical Efficacy: Stage 2.

Accelerated Perioperative Rehabilitation for Breast Cancer Patients Undergoing Radical Mastectomy: A Systematic Review.

PURPOSE: To summarize and analyze available evidence on perioperative accelerated rehabilitation programs for patients diagnosed with breast cancer that have had a radical mastectomy. DESIGN: This article is a systematic review of literature based on evidence-based methodology. METHODS: The '6S' evidence resource pyramid model was used to systematically search a range of databases. FINDINGS: A total of 19 articles were extracted from the literature and used in this study, including 9 clinical decisions, 4 systematic evaluations, 4 expert consensuses, and 2 guidelines. We summarized a total of 47 lines of evidence with regard to various aspects, including preoperative, intraoperative, and postoperative nursing measures. CONCLUSIONS: In this systematic review, an evidence-based methodology was used to summarize and analyze the best suggestions for perioperative accelerated rehabilitation nursing programs for breast cancer inpatients undergoing radical mastectomy. We aimed to provide a good reference value and evidence-based guidelines for the continuous improvement and development of nursing practice for the breast cancer patient population.

Diagnostic accuracy and potential covariates of artificial intelligence for diagnosing orthopedic fractures: a systematic literature review and meta-analysis.

OBJECTIVES: To systematically quantify the diagnostic accuracy and identify potential covariates affecting the performance of artificial intelligence (AI) in diagnosing orthopedic fractures. METHODS: PubMed, Embase, Web of Science, and Cochrane Library were systematically searched for studies on AI applications in diagnosing orthopedic fractures from inception to September 29, 2021. Pooled sensitivity and specificity and the area under the receiver operating characteristic curves (AUC) were obtained. This study was registered in the PROSPERO database prior to initiation (CRD 42021254618). RESULTS: Thirty-nine were eligible for quantitative analysis. The overall pooled AUC, sensitivity, and specificity were 0.96 (95% CI 0.94-0.98), 90% (95% CI 87-92%), and 92% (95% CI 90-94%), respectively. In subgroup analyses, multicenter designed studies yielded higher sensitivity (92% vs. 88%) and specificity (94% vs. 91%) than single-center studies. AI demonstrated higher sensitivity with transfer learning (with vs. without: 92% vs. 87%) or data augmentation (with vs. without: 92% vs. 87%), compared to those without. Utilizing plain X-rays as input images for AI achieved results comparable to CT (AUC 0.96 vs. 0.96). Moreover, AI achieved comparable results to humans (AUC 0.97 vs. 0.97) and better results than non-expert human readers (AUC 0.98 vs. 0.96; sensitivity 95% vs. 88%). CONCLUSIONS: AI demonstrated high accuracy in diagnosing orthopedic fractures from medical images. Larger-scale studies with higher design quality are needed to validate our findings. KEY POINTS: • Multicenter study design, application of transfer learning, and data augmentation are closely related to improving the performance of artificial intelligence models in diagnosing orthopedic fractures. • Utilizing plain X-rays as input images for AI to diagnose fractures achieved results comparable to CT (AUC 0.96 vs. 0.96). • AI achieved comparable results to humans (AUC 0.97 vs. 0.97) but was superior to non-expert human readers (AUC 0.98 vs. 0.96, sensitivity 95% vs. 88%) in diagnosing fractures.

Expanding Roles of Noncoding RNAs in the Pathogenesis of Systemic Lupus Erythematosus.

PURPOSE OF REVIEW: The exact pathogenesis of systemic lupus erythematosus (SLE) remains unclear. Accumulating finds have indicated the roles of the non-coding RNAs (ncRNAs) acting as novel epigenetic regulatory elements in the dysfunction of the immune system in SLE. This review will introduce recent studies on how ncRNAs are involved in the development of SLE. RECENT FINDINGS: Recent advances in ncRNAs biology have greatly expanded our understanding of epigenetic regulation of immune responses and inflammation, and increasing evidence suggests ncRNAs are important players in SLE development. Identifications of abnormal expression patterns of ncRNAs and relevant biological impacts in lupus patients have revealed their potential as novel biomarkers and therapeutic targets for SLE. The dysregulation of ncRNAs contributes to the immunopathogenesis of SLE. Clarifying the functions and mechanisms of SLE-associated ncRNAs provides new opportunities for disease biomarkers and targeted therapies.

Association Between Health Literacy and Enhanced Recovery After Surgery Protocol Adherence and Postoperative Outcomes Among Patients Undergoing Colorectal Cancer Surgery: A Prospective Cohort Study.

BACKGROUND: Low health literacy (HL) adversely affects medical adherence and health outcomes in patients with chronic diseases. However, the association between HL and enhanced recovery after surgery (ERAS) adherence and postoperative outcomes has not been investigated in patients undergoing colorectal surgery. METHODS: The data of all patients from a single academic institution who underwent colorectal surgery on an ERAS pathway from January 2019 to July 2020 were prospectively collected. HL levels were assessed using the Brief Health Literacy Screen (BHLS), a proven tool that was used by surgeons after recruitment. According to the HL score, the participants were categorized into low HL (≤9 points) and high HL (10-15 points) groups. The primary outcome was ERAS adherence. Adherence was measured in 22 perioperative elements, and high adherence was defined as adherence to 17 to 22 elements. Secondary outcomes included postoperative complications, hospital length of stay (LOS), hospital charges, mortality, and readmissions. RESULTS: Of the 865 eligible patients, the high HL group consisted of 329 patients (38.0%), and the low HL group contained 536 patients (62.0%). After propensity score matching (1:1), 240 unique pairs of patients with similar characteristics were selected. Patients with high HL levels had a significantly higher rate of high adherence to ERAS standards than those with low HL levels (55% vs 25.8%; adjusted P < .001). In terms of adherence to each item, high HL levels were significantly associated with higher adherence to preoperative optimization (90.8% vs 71.7%; adjusted P < .001), postoperative gum chewing (59.2% vs 44.6%; adjusted P = .01), early feeding (59.2% vs 31.3%; adjusted P < .001), and early mobilization (56.7% vs 30.4%; adjusted P < .001). In the overall study population, adjusted logistic regression analyses also showed that high HL levels were associated with a significantly increased rate of high adherence when compared with low HL levels (adjusted odds ratio [OR], 3.57; 95% confidence interval (CI), 2.50-5.09; P < .001). In addition, low HL levels were associated with a significantly higher incidence of postoperative complications (32.1% vs 20.8%; P < .01), longer hospital LOS (9 [interquartile range {IQR}, 7-11] vs 7 [IQR, 6-9] d; P < .001), and higher hospital charges (10,489 [IQR, 8995-11942] vs 8466 [IQR, 7733-9384] dollar; P < .001) among propensity-matched patients. However, there were no differences in the mortality and readmission rates between the HL groups. CONCLUSIONS: Low HL levels were associated with lower adherence to ERAS elements among propensity-matched patients undergoing colorectal surgery.

Safety and Comfort of Wearing Medical Masks in Adult Surgical Patients After General Anesthesia During the COVID-19 Epidemic: A Retrospective, Observational Cohort Study.

OBJECTIVE: This study assessed oxygen saturation variation and comfort in adult surgical patients wearing masks in PACU during the COVID-19 epidemic. DESIGN: Retrospective observation was applied in this study. METHODS: One hundred thirty-seven patients wearing no medical masks (Group A, aged from 20 to 87) and 136 patients wearing medical masks (Group B, aged from 18 to 91) were selected in this retrospective study after extubation in PACU. After extubation their pulse oxygen saturation, noninvasive mean blood pressure and heart rate were recorded at two different time points (treated with 40% O2 oxygen therapy for 10 minutes and breathing room air for 10 minutes). The comfort, arterial blood gas data, complications and duration of patients were also reviewed in PACU. FINDINGS: There were no significant differences in the pulse oxygen saturation between the two groups after inhaling 40% O2 or air. Compared with Group A, patients in Group B have lower comfort (6 [4-7] vs 7 [6-8]; P < .001), with shortened duration after extubation in PACU (50 [45-55] vs 56 [48-60]; P < .001). No significant differences were found in heart rate, noninvasive mean blood pressure, arterial blood gas data and complications. And no hypoxemia and respiratory adverse events happened in two groups. CONCLUSIONS: Wearing medical masks does not reduce oxygen saturation in adult surgical patients during recovery from general anesthesia. The discomfort caused by masks is the concern in PACU.

Impact of enhanced recovery after surgery protocol compliance on patients' outcome in benign hysterectomy and establishment of a predictive nomogram model.

BACKGROUND: Enhanced recovery after surgery (ERAS) pathways have been shown to improve clinical outcomes after surgery. Considering the importance of patient experience for patients with benign surgery, this study evaluated whether improved compliance with ERAS protocol modified for gynecological surgery which recommended by the ERAS Society is associated with better clinical outcomes and patient experience, and to determine the influence of compliance with each ERAS element on patients' outcome after benign hysterectomy. METHODS: A prospective observational study was performed on the women who underwent hysterectomy between 2019 and 2020. A total of 475 women greater 18 years old were classified into three groups according to their per cent compliance with ERAS protocols: Group I: < 60% (148 cases); Group II:≥60 and < 80% (160 cases); Group III: ≥80% (167 cases). Primary outcome was the 30-day postoperative complications. Second outcomes included QoR-15 questionnaire scores, patient satisfaction on a scale from 1 to 7, and length of stay after operation. After multivariable binary logistic regression analyse, a nomogram model was established to predict the incidence of having a postoperative complication with individual ERAS element compliance. RESULTS: The study enrolled 585 patients, and 475 completed the follow-up assessment. Patients with compliance over 80% had a significant reduction in postoperative complications (20.4% vs 41.2% vs 38.1%, P < 0.001) and length of stay after surgery (4 vs 5 vs 4, P < 0.001). Increased compliance was also associated with higher patient satisfaction and QoR-15 scores (P < 0.001),. Among the five dimensions of the QoR-15, physical comfort (P < 0.05), physical independence (P < 0.05), and pain dimension (P < 0.05) were better in the higher compliance groups. Minimally invasive surgery (MIS) (P < 0.001), postoperative nausea and vomiting (PONV) prophylaxis (P < 0.001), early mobilization (P = 0.031), early oral nutrition (P = 0.012), and early removal of urinary drainage (P < 0.001) were significantly associated with less complications. Having a postoperative complication was better predicted by the proposed nomogram model with high AUC value (0.906) and sensitivity (0.948) in the cohort. CONCLUSIONS: Improved compliance with the ERAS protocol was associated with improved recovery and better patient experience undergoing hysterectomy. MIS, PONV prophylaxis, early mobilization, early oral intake, and early removal of urinary drainage were of concern in reducing postoperative complications. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800019178 . Registered on 30/10/2018.

Preliminary results in anterior cervical discectomy and fusion with the uncovertebral joint fusion cage in a goat model.

OBJECTIVE: To preliminarily evaluate the safety and efficacy of the uncovertebral joint fusion cage in a goat model of cervical spine interbody fusion. METHODS: Twenty-four healthy adult goats were randomly assigned to one of the two following groups: Group A, goats were implanted with an uncovertebral joint fusion cage combined with a local autograft and Group B, goats were implanted with a non-profile cage filled with a local autograft. The goats were prospectively evaluated for 24 weeks and then were sacrificed for evaluation. X-rays, CT and micro-CT scanning, and undecalcified bone histological analysis were used for the evaluation of fusion. RESULTS: 75.0% (9/12) of the goats in Group A were evaluated as having fusion at 12 weeks, compared to 41.7% (5/12) in Group B. 83.3% (10/12) of the goats in Group A were evaluated as having fusion at 24 weeks compared to 58.3% (7/12) in Group B. The fusion grading scores in Group A were significantly higher than that in Group B both at 12 weeks and 24 weeks (P < 0.05). Micro-CT scanning and undecalcified bone histological analysis showed that new bone formation can be obviously found in the bilateral uncovertebral joint. The bone volume fraction (BV/ TV) in Group A (23.59 ± 4.43%) was significantly higher than Group B (16.16 ± 4.21%), with P < 0.05. CONCLUSIONS: Preliminary results of this study demonstrated that uncovertebral joint fusion cage is effective for achieving early bone formation and fusion without increase of serious complications.

Luteolin combined with low-dose paclitaxel synergistically inhibits epithelial-mesenchymal transition and induces cell apoptosis on esophageal carcinoma in vitro and in vivo.

Although paclitaxel is a promising frontline chemotherapy agent for various malignancies, the clinical applications have been restricted by side effects, drug resistance, and cancer metastasis. The combination of paclitaxel and other agents could be the promising strategies against malignant tumor, which enhances the antitumor effect through synergistic effects, reduces required drug concentrations, and also suppresses tumorigenesis in multiple ways. In this study, we found that luteolin, a natural flavonoid compound, combined with low-dose paclitaxel synergistically regulated the proliferation, migration, epithelial-mesenchymal transition (EMT), and apoptosis of esophageal cancer cells in vitro, as well as synergistically inhibited tumor growth without obvious toxicity in vivo. The molecular mechanism of inhibiting cell migration and EMT processes may be related to the inhibition of SIRT1, and the mechanism of apoptosis induction is associated with the reactive oxygen species (ROS)/c-Jun N-terminal kinase (JNK) pathway-mediated activation of mitochondrial apoptotic pathway.

IGFBP7 contributes to epithelial-mesenchymal transition of HPAEpiC cells in response to radiation.

Radiation-induced lung injury (RILI) frequently occurs in patients with thoracic malignancies. In response to radiation, alveolar epithelial cells (AEC) undergo epithelial-mesenchymal transition (EMT) and contribute to the pathogenesis of RILI. Insulin-like growth factor binding protein 7 (IGFBP7) is reported as a downstream mediator of transforming growth factor-ß1 (TGF-ß1) pathway, which plays a crucial role in radiation-induced EMT. In the present study, the levels of IGFBP7 and TGF-ß1 were simultaneously increased in experimental RILI models and radiation-treated AEC (human pulmonary alveolar epithelial cells [HPAEpic]). The expression of IGFBP7 in radiation-treated HPAEpic cells was obviously inhibited by the specific inhibitor of TGF-ß receptor antagonist SB431542 and TGF-ß1 neutralizing antibody, and time-dependently enhanced by TGF-ß1 treatment. Moreover, IGFBP7 knockdown significantly attenuated the effects of radiation on morphology change, cell migration, expression of EMT-related markers (E-cadherin, α-SMA, and Vimentin), and phosphorylation of extracellular-signal-regulated kinase (ERK). The effects of IGFBP7 overexpression on the expression of EMT-related markers were partially reversed by the ERK inhibitor PD98059. In conclusion, IGFBP7, was enhanced by TGF-ß1, may be involved in radiation-induced EMT of AEC via the ERK signaling pathway, thus contributing to the pathogenesis of RILI.

Health-related quality of life in pregnancy with uterine fibroid: a cross-sectional study in China.

BACKGROUND: Uterine fibroids (UFs) are the most common benign tumors in women. They are likely to cause numerous clinical symptoms, such as pain, menorrhagia, and other obstetric complications in pregnant women. This study aimed to determine the health-related quality of life (HRQoL) during pregnancy with uterine fibroids (UF), thus providing a utility-based case value in pregnant women with UF and understanding of whether HRQoL is associated with clinical outcomes in pregnant women with UFs. METHOD: This study was conducted in a cross-sectional manner. This study was based on questionnaire surveys completed by sequential out- and in-patients and was conducted in a regional university hospital in Guangzhou, China. The EuroQoL five-dimension-five-level (EQ-5D-5 L) questionnaire was used, and demographic data were collected. An electronic record of the clinical outcomes of pregnant women with UF was retrieved from the hospital's electronic medical record system. The association between UF and HRQoL was evaluated by ordered regression. RESULTS: Seven-hundred-sixty-seven pregnant women with a mean age (SD) of 32.7 (4.8) years completed 707 questionnaires. Overall, when comparing the UF with non-UF groups, we detected statistical differences in age, body mass index (BMI), gravidity and abortion times, partner's smoking and alcoholic habits, advanced maternal age, and uterine scars (p <  0.05). Furthermore, pregnant women without UF scored significantly higher than those with UF on the EQ-5D value system (0.84 versus 0.79; p = 0.017). Moreover, pregnant women with UF suffered more health-related problems, especially with respect to self-care (odds ratio [OR] = 3.69, p <  0.01) and usual activity dimensions (OR = 2.11; p = 0.01). CONCLUSION: We found that UF has a negative impact on the HRQoL of pregnant women with respect to self-care and usual activity dimensions. Also, the EQ-5D score was a better index than the EQ-VAS score for HRQoL when evaluating of the QoL of our population of pregnant women.

[Impact of deep slow-wave sleep deprivation on oxidative stress response of the testis tissue in rats].

OBJECTIVE: To investigate the influence of deep slow-wave sleep deprivation on the oxidative stress of testicular tissue in rats. METHODS: Thirty-six 5-week-old male Wistar rats were equally randomized into deep slow-wave sleep deprivation group (SD1), deep slow-wave sleep and duration sleep deprivation group ( SD2), and a cage control group (CC). The rat model of deep slow-wave sleep deprivation was established using the flowerpot technique. The rats in the SD1 group were interfered every 24 minutes and deprived of 12 hours of sleep at night, those in the SD2 group deprived of 8 minutes of sleep at an interval of 24 minutes and 12 hours of sleep at night, and those in the CC group exposed to 12 hours of daylight and 12 hours of darkness. After 28 days, all the rats were executed for measurement of the testis volume and protein content, determination of the methane dicarboxylic aldehyde (MDA) level and activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px), and observation of the pathological changes in the testicular tissue under the microscope. RESULTS: Compared with the CC group, the rats in the SD1 and SD2 groups showed significantly reduced body weight (ï¼»268.5 ± 1.6ï¼½ vs ï¼»248.1 ± 25.1ï¼½andï¼»232.9 ± 10.1ï¼½g, P<0.05) and increased relative testis mass (ï¼»50.0 ± 1.3ï¼½ vs ï¼»57.9 ± 6.1ï¼½ and ï¼»54.9 ± 3.5ï¼½ ×10⁻², P<0.05). Statistically significant differences were found between the CC and SD2 groups in the contents of protein (ï¼»6.3 ± 1.4ï¼½ vs ï¼»4.5 ± 0.9ï¼½ gpro/L, P<0.05) and MDA (ï¼»1.1 ± 0.1ï¼½ vs ï¼»1.3 ± 0.3ï¼½ nmol/mgpro, P<0.05) and the activities of SOD (ï¼»104.3 ± 33.1ï¼½ vs ï¼»135.2 ± 26.9ï¼½ U/mgpro, P<0.05) and GSH-Px (ï¼»15.6 ± 4.0ï¼½ vs ï¼»21.7 ± 4.3ï¼½ U/mgpro, P<0.05), but not between the CC and SD1 groups (P>0.05). The lumens in the testis were narrowed, with obvious hyperplasia, hyperemia and edema in the peripheral interstitial tissue, but no significant pathologic changes were observed in the testis tissue of the SD1 group. CONCLUSIONS: Long-term deprivation of deep slow-wave sleep impairs the structure of the testis tissue and induces oxidative stress response in rats.

Computer-aided multiview tumor detection for automated whole breast ultrasound.

Automated whole breast ultrasound (ABUS) has become a popular screening tool in recent years. To reduce the review time and misdetection from ABUS images by physicians, a computer-aided detection (CADe) system for ABUS images based on a multiview method is proposed in this study. A total of 58 pathology-proven lesions from 41 patients were used to evaluate the performance of the system. In the proposed CADe system, the fuzzy c-mean clustering method was applied to detect tumor candidates from these ABUS images. Subsequently, the tumor likelihoods of these candidates could be estimated by a logistic linear regression model based on the intensity, morphology, location, and size features in the transverse, longitudinal, and coronal views. Finally, the multiview tumor likelihoods of the tumor candidates could be obtained from the estimated tumor likelihoods of the three views, and the tumor candidates with high multiview tumor likelihoods were regarded as the detected tumors in the proposed system. The sensitivities of the multiview tumor detection for selecting 5, 10, 20, and 30 tumor candidates with the largest multiview tumor likelihoods were 79.31%, 86.21%, 96.55%, and 98.28%, respectively.

Biomarkers for systemic lupus erythematosus - a focus on organ damage.

INTRODUCTION: Systemic lupus erythematosus (SLE) is complex autoimmune disease with heterogenous manifestations, unpredictable disease course and response to treatment. One of the critical needs in SLE management is the identification of reliable biomarkers that can aid in early diagnosis, accurate monitoring of disease activity, and assessment of treatment response. AREAS COVERED: In the current review, we focus on the commonly affected organs (skin, kidney, and nervous system) in SLE to summarize the emerging biomarkers that show promise in disease diagnosis, monitoring and treatment response assessment. The subtitles within each organ domain were determined based on the most relevant and promising biomarkers for that specific organ damage. EXPERT OPINION: Biomarkers have the potential to significantly benefit the management of SLE by aiding in diagnosis, disease activity monitoring, prognosis, and treatment response assessment. However, despite decades of research, none has been validated and implemented for routine clinical use. Novel biomarkers could lead to the development of precision medicine for SLE, guide personalized treatment, and improve patient outcomes. Challenges in biomarker research in SLE include defining clear and clinically relevant questions, accounting for the heterogeneity of SLE, and confirming initial findings in larger, multi-center, multi-ethnic, independent cohorts that reflect real-world clinical scenarios.

A dual-modal dynamic contour-based method for cervical vascular ultrasound image instance segmentation.

OBJECTIVES: We intend to develop a dual-modal dynamic contour-based instance segmentation method that is based on carotid artery and jugular vein ultrasound and its optical flow image, then we evaluate its performance in comparison with the classic single-modal deep learning networks. METHOD: We collected 2432 carotid artery and jugular vein ultrasound images and divided them into training, validation and test dataset by the ratio of 8:1:1. We then used these ultrasound images to generate optical flow images with clearly defined contours. We also proposed a dual-stream information fusion module to fuse complementary features between different levels extracted from ultrasound and optical flow images. In addition, we proposed a learnable contour initialization method that eliminated the need for manual design of the initial contour, facilitating the rapid regression of nodes on the contour to the ground truth points. RESULTS: We verified our method by using a self-built dataset of carotid artery and jugular vein ultrasound images. The quantitative metrics demonstrated a bounding box detection mean average precision of 0.814 and a mask segmentation mean average precision of 0.842. Qualitative analysis of our results showed that our method achieved smoother segmentation boundaries for blood vessels. CONCLUSIONS: The dual-modal network we proposed effectively utilizes the complementary features of ultrasound and optical flow images. Compared to traditional single-modal instance segmentation methods, our approach more accurately segments the carotid artery and jugular vein in ultrasound images, demonstrating its potential for reliable and precise medical image analysis.