Revisiting the association between vitamin D deficiency and active tuberculosis: A prospective case-control study in Taiwan.

BACKGROUND: To revisit the association between vitamin D deficiency (VDD, defined as serum 25(OH)D < 20 ng/ml) and incident active tuberculosis (TB), after two potentially underpowered randomized trials showed statistically non-significant 13%-22% decrease in TB incidence in vitamin D supplementation groups. METHODS: We prospectively conducted an age/sex-matched case-control study that accounting for body-mass index (BMI), smoking, and other confounding factors to examine the association between VDD and active TB among non-HIV people in Taiwan (latitude 24°N), a high-income society which continues to have moderate TB burden. RESULTS: We enrolled 62 people with incident active TB and 248 people in control group. The TB case patients had a significantly higher proportion of VDD compared to the control group (51.6% vs 29.8%, p = 0.001). The 25(OH)D level was also significantly lower in TB patients compared to control group (21.25 ± 8.93 ng/ml vs 24.45 ± 8.36 ng/ml, p = 0.008). In multivariable analysis, VDD (adjusted odds ratio [aOR]: 3.03, p = 0.002), lower BMI (aOR: 0.81, p < 0.001), liver cirrhosis (aOR: 8.99, p = 0.042), and smoking (aOR: 4.52, p = 0.001) were independent risk factors for incident active TB. CONCLUSIONS: VDD is an independent risk factor for incident active TB. Future randomized trials examining the effect of vitamin D supplementation on TB incidence should focus on people with a low BMI or other risk factors to maximize the statistical power.

Risk of CKD among patients with DM taking diuretics or SGLT2i: a retrospective cohort study in Taiwan.

BACKGROUND: This study aimed to evaluate the long-term risk of CKD and renal function declines using a combination of diuretics and SGLT2i. METHODS: We selected the data of subjects who had at least two outpatient records or at least one inpatient record for DM treatment as the DM group from the National Health Insurance Research Database (NHIRD). Patients receiving versus not receiving SGLT2i were defined as the SGLT2i and non-SGLT2i cohorts, respectively. The patients in the two groups were matched 1:1 through propensity score matching based on age, sex, year of index date, and comorbidities. RESULTS: The diuretics-only group had a higher risk of CKD (aHR, 2.46; 95% CI, 1.68-3.61) compared to the neither SGLT2i nor diuretics group, while the both SGLT2i and diuretics group and the SGLT2i only group had lower risks (aHR, 0.45, 95% CI, 0.32-0.63; aHR, 0.26, 95% CI, 0.17-0.40) than the diuretics-only group. The SGLT2i-only group had a lower risk (aHR, 0.58, 95% CI, 0.36-0.94) than the both SGLT2i and diuretics group. CONCLUSION: This study indicates that diuretics could raise the risk of CKD in diabetic patients, but when used in combination with SGLT2i, they continue to offer protection against CKD.

PIKfyve controls dendritic cell function and tumor immunity.

The modern armamentarium for cancer treatment includes immunotherapy and targeted therapy, such as protein kinase inhibitors. However, the mechanisms that allow cancer-targeting drugs to effectively mobilize dendritic cells (DCs) and affect immunotherapy are poorly understood. Here, we report that among shared gene targets of clinically relevant protein kinase inhibitors, high PIKFYVE expression was least predictive of complete response in patients who received immune checkpoint blockade (ICB). In immune cells, high PIKFYVE expression in DCs was associated with worse response to ICB. Genetic and pharmacological studies demonstrated that PIKfyve ablation enhanced DC function via selectively altering the alternate/non-canonical NF-κB pathway. Both loss of Pikfyve in DCs and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively controls DCs, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.

PAD4 controls tumor immunity via restraining the MHC class II machinery in macrophages.

Tumor-associated macrophages (TAMs) shape tumor immunity and therapeutic efficacy. However, it is poorly understood whether and how post-translational modifications (PTMs) intrinsically affect the phenotype and function of TAMs. Here, we reveal that peptidylarginine deiminase 4 (PAD4) exhibits the highest expression among common PTM enzymes in TAMs and negatively correlates with the clinical response to immune checkpoint blockade. Genetic and pharmacological inhibition of PAD4 in macrophages prevents tumor progression in tumor-bearing mouse models, accompanied by an increase in macrophage major histocompatibility complex (MHC) class II expression and T cell effector function. Mechanistically, PAD4 citrullinates STAT1 at arginine 121, thereby promoting the interaction between STAT1 and protein inhibitor of activated STAT1 (PIAS1), and the loss of PAD4 abolishes this interaction, ablating the inhibitory role of PIAS1 in the expression of MHC class II machinery in macrophages and enhancing T cell activation. Thus, the PAD4-STAT1-PIAS1 axis is an immune restriction mechanism in macrophages and may serve as a cancer immunotherapy target.

Novel multidrug resistance genomic islands and transposon carrying blaVEB-1 identified in mcr-positive Aeromonas strains from raw meat in China.

OBJECTIVES: To characterize the genetic environments of ESBL gene blaVEB-1 in mcr-positive Aeromonas strains from raw meat in China. METHODS: Whole genomes of Aeromonas strains were sequenced using the Illumina or Nanopore platforms. Genetic environments of blaVEB-1 were analysed using the BLAST program. RESULTS: The blaVEB-1 gene was detected in five Aeromonas strains carrying the mcr-7-like gene. WGS revealed that all blaVEB-1 genes were located on Aeromonas chromosome, and were carried by two novel different genomic islands named Aeromonas veronii genomic islands AveGI1 and AveGI2, as well as one transposon named Tn7690. AveGI1 is a new member of the Salmonella genomic island 1 family, incorporated into the 3'-end of mnmE (trmE). AveGI2 is a novel genomic island that has a size of 23 180 bp and is incorporated into the 3'-end of syd. The MDR regions of AveGI1 and AveGI2 are two different class 1 integrons containing 10 and five resistance genes, respectively. Tn7690 is a Tn1722 derivative containing In4-type integron and Tn5393, which harbours 10 resistance genes and integrates into different positions on the chromosomes of three strains with the capacity for mobility. CONCLUSIONS: We report chromosomally located novel MDR genomic islands and transposon that carry blaVEB-1 in mcr-positive Aeromonas strains. These genetic elements may mediate the spread of blaVEB-1 in Aeromonas, and may also evolve by capturing new antimicrobial resistance genes or other mobile genetic elements.

Whole-genome sequencing of Escherichia coli from retail meat in China reveals the dissemination of clinically important antimicrobial resistance genes.

Escherichia coli is one of the important reservoirs of antimicrobial resistance genes (ARG), which often causes food-borne diseases and clinical infections. Contamination with E. coli carrying clinically important antimicrobial resistance genes in retail meat products can be transmitted to humans through the food chain, posing a serious threat to public health. In this study, a total of 330 E. coli strains were isolated from 464 fresh meat samples from 17 food markets in China, two of which were identified as enterotoxigenic and enteropathogenic E. coli. Whole genome sequencing revealed the presence of 146 different sequence types (STs) including 20 new STs, and 315 different clones based on the phylogenetic analysis, indicating the high genetic diversity of E. coli from retail meat products. Antimicrobial resistance profiles showed that 82.42 % E. coli were multidrug-resistant strains. A total of 89 antimicrobial resistance genes were detected and 12 E. coli strains carried clinically important antimicrobial resistance genes blaNDM-1, blaNDM-5, mcr-1, mcr-10 and tet(X4), respectively. Nanopore sequencing revealed that these resistance genes are located on different plasmids with the ability of horizontal transfer, and their genetic structure and environment are closely related to plasmids isolated from humans. Importantly, we reported for the first time the presence of plasmid-mediated mcr-10 in E. coli from retail meat. This study revealed the high genetic diversity of food-borne E. coli in retail meat and emphasized their risk of spreading clinically important antimicrobial resistance genes.

The association between plasma angiopoietin-like protein 4, glucose and lipid metabolism during pregnancy, placental function, and risk of delivering large-for-gestational-age neonates.

BACKGROUND: Large-for-gestational-age (LGA) neonates have increased risk of adverse pregnancy outcomes and adult metabolic diseases. We aimed to investigate the relationship between plasma angiopoietin-like protein 4 (ANGPTL4), a protein involved in lipid and glucose metabolism during pregnancy, placental function, growth factors, and the risk of LGA. METHODS: We conducted a prospective cohort study and recruited women with singleton pregnancies at the National Taiwan University Hospital between 2013 and 2018. First trimester maternal plasma ANGPTL4 concentrations were measured. RESULTS: Among 353 pregnant women recruited, the LGA group had higher first trimester plasma ANGPTL4 concentrations than the appropriate-for-gestational-age group. Plasma ANGPTL4 was associated with hemoglobin A1c, post-load plasma glucose, plasma triglyceride, plasma free fatty acid concentrations, plasma growth hormone variant (GH-V), and birth weight, but was not associated with cord blood growth factors. After adjusting for age, body mass index, hemoglobin A1c, and plasma triglyceride concentrations, plasma ANGPTL4 concentrations were significantly associated with LGA risk, and its predictive performance, as measured by the area under the receiver operating characteristic curve, outperformed traditional risk factors for LGA. CONCLUSIONS: Plasma ANGPTL4 is associated with glucose and lipid metabolism during pregnancy, plasma GH-V, and birth weight, and is an early biomarker for predicting the risk of LGA.

Cellulose nanofibers embedded chitosan/tannin hydrogel with high antibacterial activity and hemostatic ability for drug-resistant bacterial infected wound healing.

Millions of patients annually suffer life-threatening illnesses caused by bacterial infections of skin wounds. However, the treatment of wounds infected with bacteria is a thorny issue in clinical medicine, especially with drug-resistant bacteria infections. Therefore, there is an increasing interest in developing wound dressings that can efficiently fight against drug-resistant bacterial infections and promote wound healing. In this work, an anti-drug-resistant bacterial chitosan/cellulose nanofiber/tannic acid (CS/CNF/TA) hydrogel with excellent wound management ability was developed by electrospinning and fiber breakage-recombination. The hydrogel exhibited an outstanding antibacterial property exceeding 99.9 %, even for drug-resistant bacteria. This hydrogel could adhere to the tissue surface due to its abundant catechol groups, which avoided the shedding of hydrogel during the movement. Besides, it exhibited extraordinary hemostatic ability during the bleeding phase of the wound and then regulated the wound microenvironment by absorbing water and moisturizing. Moreover, the CS/CNF/TA also promoted the regrowth of vessels and follicles, accelerating the healing of infected wound tissue, with a healing rate exceeding 95 % within a 14-day timeframe. Therefore, the CS/CNF/TA hydrogel opens a new approach for the healing of drug-resistant bacterial infected wounds.

Association of health information technology-driven multidisciplinary approaches with low-density lipoprotein cholesterol target achievement in patients with an acute coronary syndrome.

Objective: Controlling of low-density lipoprotein cholesterol (LDL-C) in patients with acute coronary syndrome (ACS) remains a challenge. Health information technology (HIT) is increasingly being applied to close quality gaps in chronic illness care. The aim of this study was to perform a qualitative review of the association of implementing HIT on lipid management processes of care and LDL-C goal attainment in patients with ACS. Method: Eligible patients with a discharge diagnosis of ACS from January 2018 to December 2021 at a tertiary medical center were retrospectively reviewed. An HIT system with a multidisciplinary approach including initiating high-intensity statin therapy, periodic laboratory follow-up, titration of lipid-lowering agents, patient education, patient-level and system-level interventions involving database monitoring and outreach by centralized care teams was introduced in October 2018. Electronical medical records including data on medications and laboratory findings at discharge and within 1 year were compared before and after implementing the HIT system. Results: A total of 2001 ACS patients (average age 63 ± 12.7 years, 79.66 % men) were analyzed. The LDL-C < 70 mg/dL goal attainment rates (36.52 %, 53.57 %, 59.22 %, 62.18 % in 2018-2021) and medium serum LDL-C levels (80.5 mg/dL, 68 mg/dL, 65 mg/dL, 64 mg/dL in 2018-2021) significantly improved within 6 months (2018 as the reference, all p<0.001). The LDL-C attainment rate at 12 months also steadily increased (53.80 %, 61.82 %, 64.21 % in 2019-2021, p = 0.019). Most of the patients switched to a high-intensity statins regimen at discharge (0.57 %, 63.67 %, 72.41 %, 84.44 %, in 2018-2021, p<0.001 with 2018 as the reference), with low adverse event rates. The maintenance rates of high-intensity statin regimens at 12 months continued to improve (41.36 %, 49.04 %, 61.39 % in 2019-2021, p<0.001). Conclusions: Efforts to control LDL-C should be increased in ACS patients by initiating and intensifying statin treatment earlier. Our results confirmed that a team-based strategy with HIT improved LDL-C target achievement for most patients with ACS.

Perivascular adipose tissue and adipocyte-derived exosomal miRNAs maintain vascular homeostasis.

Perivascular adipose tissue (PVAT), a fat layer that provides structural support to the blood vessels, is a cushion protecting the vessel wall from neighbouring tissues during contraction and relaxation. PVAT actively regulates vascular tone by secreting vasoactive (vasodilatory and vasoconstrictive) factors (e.g., adipokines, batokines, and lipokines) or microRNA (miRNA)-containing exosomes to reduce the hyperreactivity induced by obesity. Of particular interest are adipocyte-derived exosomal miRNAs, which act as crucial regulators, counteracting the detrimental effects of obesity on cardiovascular well-being. These exosomes serve as potent messengers, facilitating the transport of miRNAs and other bioactive molecules involved in intercellular communication. Undoubtedly, the unique function of exosomal miRNAs promotes vascular homeostasis by fine-tuning endothelial function, vascular remodelling, and inflammatory environment, thereby preventing cardiovascular disease. The collective findings comprehensively explain their protective functions by exploring the intricate mechanisms through which PVAT and adipocyte-derived exosomal miRNAs collaboratively orchestrate vascular health. Taken together, this review strategically focuses on PVAT, exosomes, and adipocyte-derived miRNAs, offering valuable insights that can potentially inform the development of targeted interventions for cardiovascular diseases.

MSCs overexpressing GDNF restores brain structure and neurological function in rats with intracerebral hemorrhage.

Mesenchymal stem cells (MSCs) have been applied in transplantation to treat intracerebral hemorrhage (ICH) but with limited efficacy. Accumulated evidence has shown that glial cell-derived neurotrophic factor (GDNF) plays a crucial part in neuronal protection and functional recovery of the brain after ICH; however, GDNF has difficulty crossing the blood-brain barrier, which limits its application. In this study, we investigated the influences of MSCs overexpressing GDNF (MSCs/GDNF) on the brain structure as well as gait of rats after ICH and explored the possible mechanisms. We found that cell transplantation could reverse the neurological dysfunction and brain damage caused by ICH to a certain extent, and MSCs/GDNF transplantation was superior to MSCs transplantation. Moreover, Transplantation of MSCs overexpressing GDNF effectively reduced the volume of bleeding foci and increased the level of glucose uptake in rats with ICH, which could be related to improving mitochondrial quality. Furthermore, GDNF produced by transplanted MSCs/GDNF further inhibited neuroinflammation, improved mitochondrial quality and function, promoted angiogenesis and the survival of neurons and oligodendrocytes, and enhanced synaptic plasticity in ICH rats when compared with simple MSC transplantation. Overall, our data indicate that GDNF overexpression heightens the curative effect of MSC implantation in treating rats following ICH.

Allyl Isothiocyanate Suppresses the Proliferation in Oral Squamous Cell Carcinoma via Mediating the KDM8/CCNA1 Axis.

The dysregulated expression of cyclin genes can lead to the uncontrolled proliferation of cancer cells. Histone demethylase Jumonji-C domain-containing protein 5 (KDM8, JMJD5) and cyclin A1 (CCNA1) are pivotal in cell cycle progression. A promising candidate for augmenting cancer treatment is Allyl isothiocyanate (AITC), a natural dietary chemotherapeutic and epigenetic modulator. This study aimed to investigate AITC's impact on the KDM8/CCNA1 axis to elucidate its role in oral squamous cell carcinoma (OSCC) tumorigenesis. The expression of KDM8 and CCNA1 was assessed using a tissue microarray (TMA) immunohistochemistry (IHC) assay. In vitro experiments with OSCC cell lines and in vivo experiments with patient-derived tumor xenograft (PDTX) and SAS subcutaneous xenograft tumor models were conducted to explore AITC's effects on their expression and cell proliferation. The results showed elevated KDM8 and CCNA1 levels in the OSCC patient samples. AITC exhibited inhibitory effects on OSCC tumor growth in vitro and in vivo. Additionally, AITC downregulated KDM8 and CCNA1 expression while inducing histone H3K36me2 expression in oral cancer cells. These findings underscore AITC's remarkable anticancer properties against oral cancer, highlighting its potential as a therapeutic option for oral cancer treatment by disrupting the cell cycle by targeting the KDM8/CCNA1 axis.

BAG3 regulates the specificity of the recognition of specific MAPT species by NBR1 and SQSTM1.

Macroautophagy/autophagy receptors are essential for the recognition and clearance of specific cargos by selective autophagy, which is essential for maintaining MAPT proteostasis. Previous studies have implicated different autophagy receptors in directing distinct species of MAPT to autophagy, but the underlying mechanisms have not been fully investigated. Here we examine how the autophagy receptors NBR1 and SQSTM1 differentially associate with specific forms of MAPT. In primary neurons depletion of NBR1, unlike depletion of SQSTM1, significantly increased phosphorylated MAPT levels. The specificity of the interactions was confirmed using in vitro binding assays with purified proteins. We provide direct evidence that the co-chaperone BAG3 promotes the preferential association of NBR1 with monomeric MAPT and SQSTM1 with oligomeric MAPT. Using an in vitro affinity-isolation assay, we show that SQSTM1 only binds to monomeric MAPT when BAG3 is absent and fails to bind when BAG3 is present. The opposite is true of NBR1; its association with monomeric MAPT was dependent on the presence of BAG3. Interestingly, in Alzheimer disease brain the association of NBR1 with BAG3 was significantly decreased. In a mouse model, ablation of BAG3 in neural cells disrupted the association of NBR1 with phosphorylated MAPT and led to increased levels of phosphorylated and oligomeric MAPT. Overall, our results uncover a novel role for BAG3 in regulating the specificity of selective autophagy receptors in targeting different species of MAPT and provide compelling evidence that BAG3 plays a key role in maintaining MAPT proteostasis.Abbreviations: AD: Alzheimer disease; BAG3: BCL2-associated athanogene 3; BSA: bovine serum albumin; CERAD: Consortium to Establish a Registry for Alzheimer's Disease; ESCRT: endosomal sorting complexes required for transport; GST: glutathione S-transferases; MAPT: microtubule-associated protein tau; NBR1: NBR1, autophagy cargo receptor; NFT: neurofibrillary tangles; PMI: postmortem interval; SQSTM1: sequestosome 1.

Role of laparoscopy in management of patients with anterior abdominal stab wounds.

BACKGROUND: In this retrospective cohort study, we assessed the utility of laparoscopic surgery for diagnostic and therapeutic purposes in patients with anterior abdominal stab wounds (AASWs). We also investigated patient characteristics that might suggest a greater suitability of laparoscopic interventions. METHODS: Over a 25-year span, we analyzed AASW patients who had operations, categorizing them based on the presence of significant intra-abdominal injuries and whether they received laparoscopic surgery or laparotomy. We compared variables such as preoperative conditions, surgical details, and postoperative outcomes. We further evaluated the criteria indicating the necessity of direct laparotomies and traits linked to overlooked injuries in laparoscopic surgeries. RESULTS: Of 142 AASWs surgical patients, laparoscopic surgery was conducted on 89 (62.7%) patients. Only 2 (2.2%) had overlooked injuries after the procedure. Among patients without significant injuries, those receiving laparoscopic surgery had less blood loss than those receiving laparotomy (30.0 vs. 150.0 ml, p = 0.004). Patients who underwent laparoscopic surgery also had shorter hospital stays (significant injuries: 6.0 vs. 11.0 days, p < 0.001; no significant injuries: 5.0 vs. 6.5 days, p = 0.014). Surgical complications and overlooked injury rates were comparable between both surgical methods. Bowel evisceration correlated with higher laparotomy odds (odds ratio = 16.224, p < 0.001), while omental evisceration did not (p = 0.107). CONCLUSIONS: Laparoscopy is a safe and effective method for patients with AASWs, fulfilling both diagnostic and therapeutic needs. For stable AASW patients, laparoscopy could be the preferred method, reducing superfluous nontherapeutic laparotomies.

Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures.

Objectives: To explore an intelligent detection technology based on deep learning algorithms to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with human performance to verify the feasibility of this method. Methods: A total of 3,240 patients (fracture: n = 1,620, normal: n = 1,620) were included in this study, with a total of 3,276 wrist joint anteroposterior (AP) X-ray films (1,639 fractured, 1,637 normal) and 3,260 wrist joint lateral X-ray films (1,623 fractured, 1,637 normal). We divided the patients into training set, validation set and test set in a ratio of 7:1.5:1.5. The deep learning models were developed using the data from the training and validation sets, and then their effectiveness were evaluated using the data from the test set. Evaluate the diagnostic performance of deep learning models using receiver operating characteristic (ROC) curves and area under the curve (AUC), accuracy, sensitivity, and specificity, and compare them with medical professionals. Results: The deep learning ensemble model had excellent accuracy (97.03%), sensitivity (95.70%), and specificity (98.37%) in detecting DRFs. Among them, the accuracy of the AP view was 97.75%, the sensitivity 97.13%, and the specificity 98.37%; the accuracy of the lateral view was 96.32%, the sensitivity 94.26%, and the specificity 98.37%. When the wrist joint is counted, the accuracy was 97.55%, the sensitivity 98.36%, and the specificity 96.73%. In terms of these variables, the performance of the ensemble model is superior to that of both the orthopedic attending physician group and the radiology attending physician group. Conclusion: This deep learning ensemble model has excellent performance in detecting DRFs on plain X-ray films. Using this artificial intelligence model as a second expert to assist clinical diagnosis is expected to improve the accuracy of diagnosing DRFs and enhance clinical work efficiency.

Progressive drought alters the root exudate metabolome and differentially activates metabolic pathways in cotton (Gossypium hirsutum).

Root exudates comprise various primary and secondary metabolites that are responsive to plant stressors, including drought. As increasing drought episodes are predicted with climate change, identifying shifts in the metabolome profile of drought-induced root exudation is necessary to understand the molecular interactions that govern the relationships between plants, microbiomes, and the environment, which will ultimately aid in developing strategies for sustainable agriculture management. This study utilized an aeroponic system to simulate progressive drought and recovery while non-destructively collecting cotton (Gossypium hirsutum) root exudates. The molecular composition of the collected root exudates was characterized by untargeted metabolomics using Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) and mapped to the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Over 700 unique drought-induced metabolites were identified throughout the water-deficit phase. Potential KEGG pathways and KEGG modules associated with the biosynthesis of flavonoid compounds, plant hormones (abscisic acid and jasmonic acid), and other secondary metabolites were highly induced under severe drought, but not at the wilting point. Additionally, the associated precursors of these metabolites, such as amino acids (phenylalanine and tyrosine), phenylpropanoids, and carotenoids, were also mapped. The potential biochemical transformations were further calculated using the data generated by FT-ICR MS. Under severe drought stress, the highest number of potential biochemical transformations, including methylation, ethyl addition, and oxidation/hydroxylation, were identified, many of which are known reactions in some of the mapped pathways. With the application of FT-ICR MS, we revealed the dynamics of drought-induced secondary metabolites in root exudates in response to drought, providing valuable information for drought-tolerance strategies in cotton.

Azetidines with All-Carbon Quaternary Centers: Merging Relay Catalysis with Strain Release Functionalization.

Given the importance and beneficial characteristics of decorated azetidines in medicinal chemistry, efficient strategies for their synthesis are highly sought after. Herein, we report a facile synthesis of the elusive all-carbon quaternary-center-bearing azetidines. By adopting a well-orchestrated polar-radical relay strategy, ring strain release of bench-stable benzoylated 1-azabicyclo[1.1.0]butane (ABB) can be harnessed for nickel-catalyzed Suzuki Csp2-Csp3 cross-coupling with commercially available boronic acids in broad scope (>50 examples), excellent functional group tolerance, and gram-scale utility. Preliminary mechanistic studies provided insights into the underlying mechanism, wherein the ring opening of ABB with a catalytic quantity of bromide accounts for the conversion of ABB into a redox-active azetidine, which subsequently engages in the cross-coupling reaction through a radical pathway. The synergistic bromide and nickel catalysis could intriguingly be derived from a single nickel source (NiBr2). Application of the method to modify natural products, biologically relevant molecules, and pharmaceuticals has been successfully achieved as well as the synthesis of melanocortin-1 receptor (MC-1R) agonist and vesicular acetylcholine transporter (VAChT) inhibitor analogues through bioisosteric replacements of piperidine with azetidine moieties, highlighting the potential of the method in drug optimization studies. Aside from the synthesis of azetidines, we demonstrate the ancillary utility of our nickel catalytic system toward the restricted Suzuki cross-coupling of tertiary alkyl bromides with aryl boronic acids to construct all-carbon quaternary centers.

Deep learning system assisted detection and localization of lumbar spondylolisthesis.

Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary diagnosis of lumbar spondylolisthesis and compare it with doctors' evaluation to verify the effectiveness and feasibility of the DL algorithm in the diagnosis of lumbar spondylolisthesis. Methods: Lumbar lateral radiographs of 1,596 patients with lumbar spondylolisthesis from three medical institutions were collected, and senior orthopedic surgeons and radiologists jointly diagnosed and marked them to establish a database. These radiographs were randomly divided into a training set (n = 1,117), a validation set (n = 240), and a test set (n = 239) in a ratio of 0.7 : 0.15: 0.15. We trained two DL models for automatic detection of spondylolisthesis and evaluated their diagnostic performance by PR curves, areas under the curve, precision, recall, F1-score. Then we chose the model with better performance and compared its results with professionals' evaluation. Results: A total of 1,780 annotations were marked for training (1,242), validation (263), and test (275). The Faster Region-based Convolutional Neural Network (R-CNN) showed better precision (0.935), recall (0.935), and F1-score (0.935) in the detection of spondylolisthesis, which outperformed the doctor group with precision (0.927), recall (0.892), f1-score (0.910). In addition, with the assistance of the DL model, the precision of the doctor group increased by 4.8%, the recall by 8.2%, the F1-score by 6.4%, and the average diagnosis time per plain X-ray was shortened by 7.139 s. Conclusion: The DL detection algorithm is an effective method for clinical diagnosis of lumbar spondylolisthesis. It can be used as an assistant expert to improve the accuracy of lumbar spondylolisthesis diagnosis and reduce the clinical workloads.