Short-term and long-term outcomes of laparoscopic surgery for locally recurrent rectal cancer: a propensity score-matched cohort study.

BACKGROUND: Radical surgery remains the primary option for locally recurrent rectal cancer (LRRC) as it has the potential to considerably extend the patient's lifespan. At present, the effectiveness of laparoscopic surgery for LRRC remains unclear. METHODS: The clinical data of patients with LRRC who were admitted to the Cancer Hospital of the Chinese Academy of Medical Sciences between 2015 and 2021 were retrospectively analyzed in this study. Patients were categorized into two groups, namely the open group and the laparoscopic group, based on the surgical method used. Propensity score matching was used to reduce baseline differences. The short-term outcomes and long-term survival between the two groups were compared. RESULTS: Curative surgery was performed on 111 patients who were diagnosed with LRRC. After propensity score matching, a total of 80 patients were included and divided into the laparoscopic group (40 patients) and the open group (40 patients). The laparoscopic group had less intraoperative bleeding (100 vs. 300, P = 0.011), a lower postoperative complication rate (20.0% vs. 42.5%, P = 0.030), a lower incidence of wound infection (0 vs. 15.0%, P = 0.026), and a shorter time to first flatus (2 vs. 3, P = 0.005). The laparoscopic group had higher 3-year overall survival (85.4% vs. 57.5%, P = 0.016) and 3-year disease-free survival (63.9% vs 36.5%, P = 0.029). CONCLUSIONS: In comparison to open surgery, laparoscopic surgery is linked to less bleeding during the operation, quicker recovery after the surgery, and a lower incidence of infections at the surgical site. Moreover, laparoscopic surgery for LRRC might yield superior long-term survival outcomes.

Serum CD44 levels in early pregnancy and its genetic variants for increased risk of gestational diabetes mellitus in Chinese pregnant women.

This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12-3.40 & 1.95, 1.05-3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98-3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. SIGNIFICANCE: Recent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms.

Blood perfusion assessment by near-infrared fluorescence angiography of epiploic appendages in prevention of anastomotic leakage after laparoscopic intersphincteric resection for ultra-low rectal cancer: a case-matched study.

BACKGROUND: The role of intraoperative near-infrared fluorescence angiography with indocyanine green in reducing anastomotic leakage (AL) has been demonstrated in colorectal surgery, however, its perfusion assessment mode, and efficacy in reducing anastomotic leakage after laparoscopic intersphincteric resection (LsISR) need to be further elucidated. AIM: Aim was to study near-infrared fluorescent angiography to help identify bowel ischemia to reduce AL after LsISR. MATERIAL AND METHODS: A retrospective case-matched study was conducted in one referral center. A total of 556 consecutive patients with ultra-low rectal cancer including 140 patients with fluorescence angiography of epiploic appendages (FAEA)were enrolled. Perfusion assessment by FAEA in the monochrome fluorescence mode. Patients were divided into two groups based on perfusion assessment by FAEA. The primary endpoint was the AL rate within 6 months, and the secondary endpoint was the structural sequelae of anastomotic leakage (SSAL). RESULTS: After matching, the study group (n = 109) and control group (n = 190) were well-balanced. The AL rate in the FAEA group was lower before (3.6% vs. 10.1%, P = 0.026) and after matching (3.7% vs. 10.5%, P = 0.036). Propensity scores matching analysis (OR 0.275, 95% CI 0.035-0.937, P 0.039), inverse probability of treatment weighting (OR 0.814, 95% CI 0.765-0.921, P 0.002), and regression analysis (OR 0.298, 95% CI 0.112-0.790, P = 0.015), showed that FAEA was an independent protector factor for AL. This technique can significantly shorten postoperative hospital stay [9 (6-13) vs. 10 (8-13), P = 0.024] and reduce the risk of SSAL (1.4% vs. 6.0%, P = 0.029). CONCLUSIONS: Perfusion assessment by FAEA can achieve better visualization in LsISR and reduce the incidence of AL, subsequently avoiding SSAL after LsISR.

Metabolomics reveals changes in soil metabolic profiles during vegetation succession in karst area.

Soil metabolites are critical in regulating the dynamics of ecosystem structure and function, particularly in fragile karst ecosystems. Clarification of response of soil metabolism to vegetation succession in karst areas will contribute to the overall understanding and management of karst soils. Here, we investigated the metabolite characteristics of karst soils with different vegetation stages (grassland, brushwood, secondary forest and primary forest) based on untargeted metabolomics. We confirmed that the abundance and composition of soil metabolites altered with vegetation succession. Of the 403 metabolites we found, 157 had significantly varied expression levels across vegetation soils, including mainly lipids and lipid-like molecules, phenylpropanoids and polyketides, organic acids and derivatives. Certain soil metabolites, such as maltotetraose and bifurcose, were sensitive to vegetation succession, increasing significantly from grassland to brushwood and then decreasing dramatically in secondary and primary forests, making them possible indicators of karst vegetation succession. In addition, soil metabolic pathways, such as galactose metabolism and biosynthesis of unsaturated fatty acids, also changed with vegetation succession. This study characterized the soil metabolic profile in different vegetation stages during karst secondary succession, which would provide new insights for the management of karst soils.

Nomogram for predicting the probability of rectal anastomotic re-leakage after stoma closure: a retrospective study.

BACKGROUND: In this study, we aimed to identify the risk factors in patients with rectal anastomotic re-leakage and develop a prediction model to predict the probability of rectal anastomotic re-leakage after stoma closure. METHODS: This study was a single-center retrospective analysis of patients with rectal cancer who underwent surgery between January 2010 and December 2020. Among 3225 patients who underwent Total or Partial Mesorectal Excision (TME/PME) surgery for rectal cancer, 129 who experienced anastomotic leakage following stoma closure were enrolled. Risk factors for rectal anastomotic re-leakage were analyzed, and a prediction model was established for rectal anastomotic re-leakage. RESULTS: Anastomotic re-leakage after stoma closure developed in 13.2% (17/129) of patients. Multivariable analysis revealed that neoadjuvant chemoradiotherapy (odds ratio, 4.07; 95% confidence interval, 1.17-14.21; p = 0.03), blood loss > 50 ml (odds ratio, 4.52; 95% confidence interval, 1.31-15.63; p = 0.02), and intersphincteric resection (intersphincteric resection vs. low anterior resection: odds ratio, 6.85; 95% confidence interval, 2.01-23.36; p = 0.002) were independent risk factors for anastomotic re-leakage. A nomogram was constructed to predict the probability of anastomotic re-leakage, with an area under the receiver operating characteristic curve of 0.828 in the cohort. Predictive results correlated with the actual results according to the calibration curve. CONCLUSIONS: Neoadjuvant chemoradiotherapy, blood loss > 50 ml, and intersphincteric resection are independent risk factors for anastomotic re-leakage following stoma closure. The nomogram can help surgeons identify patients at a higher risk of rectal anastomotic re-leakage.

CMRLCCOA: Multi-Strategy Enhanced Coati Optimization Algorithm for Engineering Designs and Hypersonic Vehicle Path Planning.

The recently introduced coati optimization algorithm suffers from drawbacks such as slow search velocity and weak optimization precision. An enhanced coati optimization algorithm called CMRLCCOA is proposed. Firstly, the Sine chaotic mapping function is used to initialize the CMRLCCOA as a way to obtain better-quality coati populations and increase the diversity of the population. Secondly, the generated candidate solutions are updated again using the convex lens imaging reverse learning strategy to expand the search range. Thirdly, the Lévy flight strategy increases the search step size, expands the search range, and avoids the phenomenon of convergence too early. Finally, utilizing the crossover strategy can effectively reduce the search blind spots, making the search particles constantly close to the global optimum solution. The four strategies work together to enhance the efficiency of COA and to boost the precision and steadiness. The performance of CMRLCCOA is evaluated on CEC2017 and CEC2019. The superiority of CMRLCCOA is comprehensively demonstrated by comparing the output of CMRLCCOA with the previously submitted algorithms. Besides the results of iterative convergence curves, boxplots and a nonparametric statistical analysis illustrate that the CMRLCCOA is competitive, significantly improves the convergence accuracy, and well avoids local optimal solutions. Finally, the performance and usefulness of CMRLCCOA are proven through three engineering application problems. A mathematical model of the hypersonic vehicle cruise trajectory optimization problem is developed. The result of CMRLCCOA is less than other comparative algorithms and the shortest path length for this problem is obtained.

Multiomics Analyses Explore the Immunometabolic Interplay in the Liver of White Crucian Carp (Carassius cuvieri) After Aeromonas veronii Challenge.

Aeromonas veronii is one of the predominant pathogenic species that can imperil the survival of farmed fish. However, the interactive networks of immune regulation and metabolic response in A. veronii-infected fish are still unclear. In this investigation, we aimed to explore immunometabolic interplay in white crucian carp (WCC) after the A. veronii challenge. Elevated levels of immune-related genes were observed in various tissues after A. veronii infection, along with the sharp alteration of disease-related enzymatic activities. Besides, decreased levels of antioxidant status were observed in the liver, but most metabolic gene expressions increased dramatically. Multiomics analyses revealed that metabolic products of amino acids, such as formiminoglutamic acid (FIGLU), L-glutamate (L-Glu), and 4-hydroxyhippuric acid, were considered the crucial liver biomarkers in A. veronii-infected WCC. In addition, A. veronii infection may dysregulate endoplasmic reticulum (ER) function to affect the metabolic process of lipids, carbohydrates, and amino acids in the liver of WCC. These results may have a comprehensive implication for understanding immunometabolic response in WCC upon A. veronii infection.

Trends in the Incidence of Gestational Diabetes Mellitus Among the Medicaid Population Before and During the COVID-19 Pandemic.

Importance: Although there are many regional and national studies on the trends in the incidence of gestational diabetes mellitus (GDM), the trends in the incidence of GDM among the Medicaid population are lacking, especially before and during coronavirus disease of 2019 (COVID-19). Objective: To investigate the trends in the incidence of GDM before and during COVID-19 pandemic (2016-2021) among the Louisiana Medicaid population. Design, Setting, and Participants: This study included 111,936, Louisiana Medicaid pregnant women of age 18-50 between January 1, 2016, to December 31, 2021. Main Outcomes and Measures: Pregnancies, GDM, and pre-pregnancy diabetes cases were identified by using the Tenth Revisions of the International Classification of Disease code. The annual incidence of GDM and annual prevalence of pre-pregnancy diabetes were calculated for each age and race subgroup. Results: The age-standardized incidence of GDM increased from 10.2% in 2016 to 14.8 in 2020 and decreased to 14.0% in 2021. The age-standardized prevalence of pre-pregnancy diabetes increased from 2.8% in 2016 to 3.4% in 2018 and decreased to 2.3% in 2021. The age-standardized rate of GDM was the highest among Asian women (23.0%), then White women (15.5%), and African American women (13.9%) (p for difference <0.001). The COVID-19 pandemic saw an increase in the incidence of GDM, with a rise in prominent GDM risk factors, such as obesity and sedentary behaviors, suggesting an association. Conclusion and Relevance: The incidence of GDM significantly increased during the COVID-19 pandemic. Potential reasons might include increased sedentary behavior and increased prevalence of obesity. GDM is a major public health issue, and the prevention of GDM is particularly essential for the Louisiana Medicaid population owing to the high prevalence of GDM-related risk factors in this population.

Central lean mass distribution and the risks of all-cause and cause-specific mortality in 40283 UK Biobank participants.

Introduction The purpose of this study is to investigate the association of central lean mass distribution with the risk of mortality. Methods This cohort study included 40283 UK Biobank participants. Cox proportional hazards regression models were used to estimate the association of central lean mass distribution, i.e., trunk-to-leg lean mass ratio, assessed by dual energy X-ray absorptiometry, with the risk of mortality. Results The median age of the participants was 65 years and 52% were women. During a median follow-up of 4.18 years, 674 participants died, of whom 366 were due to cancer, and 126 were due to cardiovascular causes. Compared with the lowest tertile of a trunk-to-leg lean mass ratio, the multivariable-adjusted (age, sex, ethnicity, lifestyle, comorbidities, body mass index, and appendicular muscle mass index) hazards ratios of the highest tertile of trunk-to-leg lean mass ratio were 1.55 (95%CI, 1.23 - 1.94), 1.69 (95%CI, 1.26 - 2.26), and 1.14 (95%CI, 0.72 - 1.80) for all-cause, cancer and cardiovascular mortality, respectively. Neutrophil-to-lymphocyte ratio mediated 9.3% (95% CI, 3.3%-40.4%) of the association of trunk-to-leg lean mass ratio with all-cause mortality. There was evidence for additive interactions of trunk-to-leg lean mass ratio with older age and poor diet quality for all-cause mortality. Conclusion Trunk-to-leg lean mass ratio, assessed by dual energy X-ray absorptiometry, was positively associated with the risks of all-cause and cancer mortality, independent of general obesity and central obesity, in UK middle-aged and older adults. Central lean mass distribution may interact synergistically with aging, and poor diet quality to further increase the risk of death.

Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems.

The RIME optimization algorithm is a newly developed physics-based optimization algorithm used for solving optimization problems. The RIME algorithm proved high-performing in various fields and domains, providing a high-performance solution. Nevertheless, like many swarm-based optimization algorithms, RIME suffers from many limitations, including the exploration-exploitation balance not being well balanced. In addition, the likelihood of falling into local optimal solutions is high, and the convergence speed still needs some work. Hence, there is room for enhancement in the search mechanism so that various search agents can discover new solutions. The authors suggest an adaptive chaotic version of the RIME algorithm named ACRIME, which incorporates four main improvements, including an intelligent population initialization using chaotic maps, a novel adaptive modified Symbiotic Organism Search (SOS) mutualism phase, a novel mixed mutation strategy, and the utilization of restart strategy. The main goal of these improvements is to improve the variety of the population, achieve a better balance between exploration and exploitation, and improve RIME's local and global search abilities. The study assesses the effectiveness of ACRIME by using the standard benchmark functions of the CEC2005 and CEC2019 benchmarks. The proposed ACRIME is also applied as a feature selection to fourteen various datasets to test its applicability to real-world problems. Besides, the ACRIME algorithm is applied to the COVID-19 classification real problem to test its applicability and performance further. The suggested algorithm is compared to other sophisticated classical and advanced metaheuristics, and its performance is assessed using statistical tests such as Wilcoxon rank-sum and Friedman rank tests. The study demonstrates that ACRIME exhibits a high level of competitiveness and often outperforms competing algorithms. It discovers the optimal subset of features, enhancing the accuracy of classification and minimizing the number of features employed. This study primarily focuses on enhancing the equilibrium between exploration and exploitation, extending the scope of local search.

Efficacy and safety of Xileisan combined with mesalazine for ulcerative colitis: A meta-analysis and trial sequential analysis.

BACKGROUND: The benefits and risks of Xileisan (XLS) in the treatment of ulcerative colitis (UC) remain unclear. AIM: The present study aimed to evaluate the efficacy and safety of the combination of XLS and mesalazine when treating UC. METHODS: We searched eight databases for clinical trials evaluating the combination of XLS and mesalazine in the treatment of UC, up to January 2024. Meta-analysis and trial sequential analysis (TSA) were performed using Revman 5.3 and TSA 0.9.5.10 beta, respectively. RESULTS: The present study included 13 clinical studies involving 990 patients, of which 501 patients received XLS combined with mesalazine while 489 patients received mesalazine alone. The meta-analysis showed that, in terms of efficacy, the combination of XLS and mesalazine significantly improved the clinical efficacy rate by 22% [risk ratio (RR) = 1.22; 95%CI: 1.15-1.28; P < 0.00001] and mucosal improvement rate by 25% (RR = 1.25; 95%CI: 1.12-1.39; P = 0.0001), while significantly reducing the duration of abdominal pain by 2.25 days [mean difference (MD) = -2.25; 95%CI: -3.35 to -1.14; P < 0.0001], diarrhea by 2.06 days (MD = -2.06; 95%CI: -3.92 to -0.20; P = 0.03), hematochezia by 2.32 days (MD = -2.32; 95%CI: -4.02 to -0.62; P = 0.008), tumor necrosis factor alpha by 16.25 ng/mL (MD = -16.25; 95%CI: -20.48 to -12.01; P < 0.00001), and interleukin-6 by 14.14 ng/mL (MD = -14.14; 95%CI: -24.89 to -3.39; P = 0.01). The TSA indicated conclusiveness in the meta-analysis of the efficacy endpoints. In terms of safety, the meta-analysis revealed that the combination of XLS and mesalazine did not increase the occurrence of total and gastrointestinal adverse events, abdominal distension, and erythema (P > 0.05). The TSA showed non conclusive findings in the meta-analysis of the safety endpoints. Harbord's test showed no publication bias (P = 0.734). CONCLUSION: Treatment with XLS alleviated the clinical symptoms, intestinal mucosal injury, and inflammatory response in patients with UC, while demonstrating good safety.

A Mendelian randomization study of the effect of mental disorders on cardiovascular disease.

Objective: The effect of mental disorders (MD) on cardiovascular disease (CVD) remains controversial, and this study aims to analyze the causal relationship between eight MD and CVD by Mendelian randomization (MR). Methods: Single nucleotide polymorphisms of attention-deficit/hyperactivity disorder (ADHD), anorexia nervosa (AN), anxiety disorder (ANX), autism spectrum disorder (ASD), bipolar disorder (BD), depression, obsessive-compulsive disorder (OCD), schizophrenia (SCZ), and CVD were obtained from UK Biobank and FinnGen. Exposure-outcome causality was tested using inverse variance weighted (IVW), MR-Egger, and weighted median. Horizontal pleiotropy and heterogeneity were assessed by MR-Egger intercept and Cochran's Q, respectively, while stability of results was assessed by leave-one-out sensitivity analysis. Results: MR analysis showed that ANX (IVW [odds ratio (OR) 1.11, 95% confidence intervals (CI) 1.07-1.15, p < 0.001]; MR-Egger [OR 1.03, 95% CI 0.92-1.14, p = 0.652]; weighted median [OR 1.09, 95% CI 1.03-1.14, p = 0.001]), ASD (IVW [OR 1.05, 95% CI 1.00-1.09, p = 0.039]; MR-Egger [OR 0.95, 95% CI 0.84-1.07, p = 0.411]; weighted median [OR 1.01, 95% CI 0.96-1.06, p = 0.805]), depression (IVW [OR 1.15, 95% CI 1.10-1.19, p < 0.001]; MR-Egger [OR 1.10, 95% CI 0.96-1.26, p = 0.169]; weighted median [OR 1.13, 95% CI 1.08-1.19, p < 0.001]) were significantly associated with increased risk of CVD, whereas ADHD, AN, BD, OCD, and SCZ were not significantly associated with CVD (p > 0.05). Intercept analysis showed no horizontal pleiotropy (p > 0.05). Cochran's Q showed no heterogeneity except for BD (p = 0.035). Sensitivity analysis suggested that these results were robust. Conclusions: ANX, ASD, and depression are associated with an increased risk of CVD, whereas AN, ADHD, BD, OCD, and SCZ are not causally associated with CVD. Active prevention and treatment of ANX, ASD, and depression may help reduce the risk of CVD.

Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients.

OBJECTIVE: To investigate the prognostic value of preoperative body composition and serum tumor markers (STM) in patients undergoing surgical treatment for colorectal cancer (CRC) and to establish the prognostic score for patients with CRC. METHODS: This study enrolled 365 patients (training set 245, validation set 120) with CRC who underwent surgical resection. The predictive value of various body composition features and STM for determining CRC prognosis were compared. A novel index score based on the independent risk factors from Cox regression for CRC patients was established and evaluated for its usefulness. RESULTS: Multivariate Cox regression showed that low skeletal muscle radiodensity (SMD) (p = 0.020), low subcutaneous fat area (SFA) (p = 0.029), high carcinoembryonic antigen (CEA) (p = 0.008), and high alpha-fetoprotein (AFP) (p = 0.039) were all independent prognostic factors for poor overall survival (OS). The multifactorial analysis indicated that high intermuscular fat area (IMFA) (p = 0.033) and high CEA (p = 0.009) were independent prognostic factors for poor disease-free survival (DFS). Based on these findings, two scoring systems for OS and DFS were established in the training datasets. CRC patients who scored higher on the new scoring systems had lower OS and DFS (both p < 0.001) as shown in the Kaplan-Meier survival curves in the training and validation datasets. CONCLUSION: In predicting the prognosis of CRC patients, SFA and SMD are superior to other body composition measurements. A scoring system based on body composition and STM can have prognostic value and clinical applicability. CLINICAL RELEVANCE STATEMENT: This scoring system, combining body composition and serum tumor markers, may help predict postoperative survival of CRC patients and help clinicians make well-informed decisions regarding the treatment of patients. KEY POINTS: Colorectal cancer prognosis can be related to body composition. High intermuscular fat area and CEA were independent prognostic factors for poor disease-free survival. This scoring system, based on body composition and tumor markers, can prognosticate for colorectal cancer patients.

Habitual use of glucosamine and adverse liver outcomes among patients with type 2 diabetes and MASLD.

BACKGROUND: Glucosamine is a dietary supplement commonly used to support joint health. However, there has been interest in exploring other effects of glucosamine on health outcomes due to its ant-inflammation effect. OBJECTIVE: This study compared the risks of major adverse liver outcomes (MALOs) between regular users and non-users of glucosamine among patients with type 2 diabetes and metabolic dysfunction associated steatotic liver disease (MASLD) using the data from a large prospective cohort study. METHODS: Demographic, anthropometric, laboratory and medication prescription information among 18 753 patients with type 2 diabetes and MASLD was obtained from the UK Biobank. MASLD was identified based on hepatic steatosis defined by fatty liver index ≥60 plus the presence of any clues of metabolic dysregulation and cardio-metabolic risk factors, excluding patients with moderate to severe alcohol consumption. RESULTS: During a mean follow-up of 11.4 years, 826 incident MALOs events were recorded. Patients not regularly using glucosamine compared with patients using glucosamine showed a significantly higher risk of the composite MALOs (HR 1.36, 95% confidence interval [CI] 1.09-1.69) as well as most individual MALOs except for ascites. The multivariable-adjusted HRs of MALOs within 3, 5 and 10 years among non-users of glucosamine compared with regular users were 1.79 (95% CI .69-2.03), 1.88 (95% CI 1.21-2.54) and 1.32 (95% CI 1.05-1.72), respectively. Further subgroup analyses in participants with different baseline characteristics and sensitivity analyses excluding participants who regularly took any other supplements and participants who used self-reports to diagnose diabetes confirmed the findings. CONCLUSIONS: The present study indicated that habitual use of glucosamine was associated with a low risk of individual and composite MALOs among patients with type 2 diabetes and MASLD.

Nocardioides imazamoxiresistens sp. nov. Isolated from the Activated Sludge.

A Gram-staining-positive actinomycete named YZH12T was isolated from the sediment of the Yangtze River in Nanjing, Jiangsu province, China. Cells were aerobic, non-spore forming, non-motile, short rod (0.4-0.6 × 0.5-1.0 µm) or coccus (0.4-0.6 µm in diameter). Colonies were circular, smooth, and beige to yellowish. Growth occurred at 15-42 °C (optimal 28 °C), pH 5.0-9.0 (optimal 7.0), and 0-10% (w/v) NaCl (optimal 2%). The strain could tolerate 1500 mg/L of imazamox. Strain YZH12T showed 98.7% 16S rRNA gene sequence similarity Nocardioides zeae JM-1068T and less than 97% similarities with other type strains in the genus Nocardioides. Phylogenetic analysis based on genome and 16S rRNA gene sequences indicated that strain YZH12T was phylogenetically affiliated to the genus Nocardioides and formed a subclade with N. zeae JM-1068T and N. alkalitolerans DSM 16699T. The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between YZH12T and closely related type strain N. zeae JM-1068T were 79.9% and 35.2%, respectively. The major fatty acids (> 5%) were C18: 1ω9c, iso-C16: 0, C16: 0, C17: 1ω8cand C18: 0; the major respiratory quinone was MK-8(H4); and the polar lipids profiles were diphosphatidylglycerol (DPG), phosphatidylglycerol (PG), glycolipid (GL), two aminophospholipids (APL1, APL2), and an unknown polar lipid (L). The genomic DNA G + C content is 73.5%. Based on the phenotypic, chemotaxonomic, phylogenetic analyses, and genomic data, strain YZH12T represents a novel species of the genus Nocardioides, for which the name Nocardioides imazamoxiresistens YZH12T is proposed, with strain YZH12T (= KCTC 49964T = MCCC 1K0892T) as the type strain.

Causal effects of 731 immune cell phenotypes on autism spectrum disorder: a Mendelian randomization study.

Objective: The role of different immune cells in autism spectrum disorders (ASD) is still controversial. The purpose of this study was to evaluate the causal effects of different immune cell phenotypes on ASD via Mendelian randomization (MR). Methods: Datasets of immune cell phenotypes were obtained from the European Bioinformatics Institute, and datasets of ASD were obtained from the IEU Open GWAS project. Single nucleotide polymorphisms were selected based on the assumptions of association, independence, and exclusivity. Inverse variance weighted was utilized as the main method for MR analysis. MR-Egger was employed to assess the horizontal pleiotropy of the results. Cochran's Q and leave-one-out method were used for heterogeneity analysis and sensitivity analysis of the results, respectively. Results: MR analysis showed that TD CD8br AC [odds ratio (OR), 1.137; 95% confidence interval (CI), 1.031-1.254; p = 0.010], CD8br %leukocyte (OR, 1.142; 95% CI, 1.067-1.223; p < 0.001), CD8br and CD8dim %leukocyte (OR, 1.117; 95% CI, 1.032-1.210; p = 0.006), naive CD8br %T cell (OR, 1.052; 95% CI, 1.004-1.104; p = 0.035), CD28- CD8dim %T cell (OR, 1.097; 95% CI, 1.038-1.158; p < 0.001), CD127- CD8br AC (OR, 1.086; 95% CI, 1.006-1.171; p = 0.034), CD45 on CD8br (OR, 1.059; 95% CI, 1.021-1.099; p = 0.002), CD3 on HLA DR+ CD8br (OR, 1.098; 95% CI, 1.041-1.158; p < 0.001), CD4 on activated Treg (OR, 1.048; 95% CI, 1.001-1.096; p = 0.046), CD3 on CD39+ resting Treg (OR, 1.070; 95% CI, 1.012-1.131; p = 0.018), IgD+ CD38- %lymphocyte (OR, 1.103; 95% CI, 1.023-1.190; p = 0.011), CD62L- plasmacytoid DC %DC (OR, 1.046; 95% CI, 1.001-1.093; p = 0.046), and FSC-A on plasmacytoid DC (OR, 1.075; 95% CI, 1.003-1.153; p = 0.042) were associated with increased genetic susceptibility to ASD. MR-Egger displayed no horizontal pleiotropy (p ≥ 0.05). Cochran's Q revealed no heterogeneity of results (p ≥ 0.05). Sensitivity analysis indicated that the results were robust. Conclusion: This MR analysis revealed 13 immune cell phenotypes associated with increased genetic susceptibility to ASD and emphasized the importance of CD8 T cells and Tregs, which provides new directions for the pathogenesis and drug research of ASD.

TrueTH: A user-friendly deep learning approach for robust dopaminergic neuron detection.

Parkinson's disease (PD) entails the progressive loss of dopaminergic (DA) neurons in the substantia nigra pars compacta (SNc), leading to movement-related impairments. Accurate assessment of DA neuron health is vital for research applications. Manual analysis, however, is laborious and subjective. To address this, we introduce TrueTH, a user-friendly and robust pipeline for unbiased quantification of DA neurons. Existing deep learning tools for tyrosine hydroxylase-positive (TH+) neuron counting often lack accessibility or require advanced programming skills. TrueTH bridges this gap by offering an open-sourced and user-friendly solution for PD research. We demonstrate TrueTH's performance across various PD rodent models, showcasing its accuracy and ease of use. TrueTH exhibits remarkable resilience to staining variations and extreme conditions, accurately identifying TH+ neurons even in lightly stained images and distinguishing brain section fragments from neurons. Furthermore, the evaluation of our pipeline's performance in segmenting fluorescence images shows strong correlation with ground truth and outperforms existing models in accuracy. In summary, TrueTH offers a user-friendly interface and is pretrained with a diverse range of images, providing a practical solution for DA neuron quantification in Parkinson's disease research.

DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation.

Colon adenocarcinoma (COAD) is a type of colon cancers with a high mortality rate. Its early symptoms are not obvious, and its late stage is accompanied by various complications that seriously endanger patients' lives. To assist in the early diagnosis of COAD and improve the detection efficiency of COAD, this paper proposes a multi-level threshold image segmentation (MIS) method based on an enhanced particle swarm algorithm for segmenting COAD images. Firstly, this paper proposes a multi-strategy fusion particle swarm optimization algorithm (DRPSO) with a replacement mechanism. The non-linear inertia weight and sine-cosine learning factors in DRPSO help balance the exploration and exploitation phases of the algorithm. The population reorganization strategy incorporating MGO enhances population diversity and effectively prevents the algorithm from stagnating prematurely. The mutation-based final replacement mechanism enhances the algorithm's ability to escape local optima and helps the algorithm to obtain highly accurate solutions. In addition, comparison experiments on the CEC2020 and CEC2022 test sets show that DRPSO outperforms other state-of-the-art algorithms in terms of convergence accuracy and speed. Secondly, by combining the non-local mean 2D histogram and 2D Renyi entropy, this paper proposes a DRPSO algorithm based MIS method, which is successfully applied to the segments the COAD pathology image problem. The results of segmentation experiments show that the above method obtains relatively higher quality segmented images with superior performance metrics: PSNR = 23.556, SSIM = 0.825, and FSIM = 0.922. In conclusion, the MIS method based on the DRPSO algorithm shows great potential in assisting COAD diagnosis and in pathology image segmentation.

miR-142-3p alleviates neuronal apoptosis in Parkinson's disease via negatively regulating C9orf72.

Although microRNA (miRNA) have important clinical prospects in the early diagnosis and treatment of PD, the functions and mechanisms of miRNAs in PD models remain poorly defined. In this study, we screened 9 miRNAs that differently expressed in PD patients and found that miR-142-3p expression was downregulated in both animal and cell models of PD. We showed that overexpression of miR-142-3p significantly alleviates the neuronal damage induced by MPP+, while knockdown of miR-142-3p exacerbates the neuronal damage caused by MPP+. We further found that miR-142-3p targets and inhibits the expression of C9orf72. Knockdown of C9orf72 mitigated neuronal autophagy dysfunction by reducing excessive activation of the AKT/mTOR pathway after MPP+ stimulation, thereby exerted neuroprotective effects. This study reveals that miR-142-3p protects neuron in PD pathogenesis via negatively regulating C9orf72 and enhancing autophagy. Our findings provides an insight into the development of potential biomarkers and therapeutic targets for PD.