Corrigendum: Association between meeting 24-h movement guidelines and health in children and adolescents aged 5-17 years: a systematic review and meta-analysis.

[This corrects the article DOI: 10.3389/fpubh.2024.1351972.].

TGFß1, SNAIL2, and PAPP-A Expression in Placenta of Gestational Diabetes Mellitus Patients.

Background: Gestational diabetes mellitus (GDM) is a pregnancy-related diabetic condition that may cause serious complications. However, its pathogenesis remains unclear. Placental damage due to GDM may lead to several health issues that cannot be ignored. Thus, we aimed to identify the mechanisms underlying GDM by screening differentially expressed genes (DEGs) related to vascular endothelial cells in the GDM databases and verify the expression of these DEGs in the placentas of women afflicted by GDM. Methods: We used GDM microarray datasets integrated from the Gene Expression Omnibus (GEO) database. Functional annotation and protein-protein interaction (PPI) analyses were used to screen DEGs. Placental tissues from 20 pregnant women with GDM and 20 healthy pregnant women were collected, and differential gene expression in the placental tissues was verified via qRT-PCR, western blotting, and immunofluorescence. Results: Bioinformatics analysis revealed three significant DEGs: SNAIL2, PAPP-A, and TGFß1. These genes were all predicted to be underexpressed in patients with GDM. The results of qRT-PCR, western blot, and immunofluorescence analyses indicated that SNAIL2 and PAPP-A in the placenta tissue of patients with GDM were significantly underexpressed. However, TGFß1 in the placenta tissues of GDM was significantly overexpressed. Conclusion: SNAIL2, TGFß1, and PAPP-A may affect the placentas of pregnant women with GDM, warranting further investigation.

Relationship Between Glycosylated Hemoglobin Variability and the Severity of Coronary Artery Disease in Patients With Type 2 Diabetes Mellitus.

Background: Glycosylated hemoglobin (HbA1c) variability is a risk factor for cardiovascular complications in patients with Type 2 diabetes mellitus (T2DM), but its relationship with the severity of coronary artery disease (CAD) is unclear. Methods: Patients with T2DM who underwent coronary angiography due to angina were enrolled. HbA1c variability was expressed as coefficient of variation (CV), standard deviation (SD), variability independent of mean (VIM), and time in range (TIR). The severity of CAD was expressed by the number of involved vessels and Gensini score. Multivariate regression models were constructed to test the relationship between HbA1c variability, number of involved vessels, and the Gensini score, followed by linear regression analysis. Results: A total of 147 patients were included. In multivariate analysis, VIM-HbA1c (OR = 2.604; IQR: 1.15, 5.90; r = 0.026) and HbA1cTIR (OR = 0.13; IQR: 0.04, 0.41; r < 0.001) were independent risk factors for the number of involved vessels. After adjustment, HbA1cTIR (OR = 0.01; IQR: 0.002, 0.04; r < 0.001), SD-HbA1c (OR = 4.12, IQR: 1.64, 10.35; r = 0.001), CV-HbA1c (OR = 1.41, IQR: 1.04, 1.92; r = 0.007), and VIM-HbA1c (OR = 3.26; IQR: 1.43, 7.47; r = 0.003) were independent risk factors for the Gensini score. In the linear analysis, the Gensini score was negatively correlated with HbA1cTIR (ß = -0.629; r < 0.001) and positively correlated with SD-HbA1c (ß = 0.271; r = 0.001) and CV-HbA1c (ß = 0.176; r = 0.033). After subgroup analysis, HbA1cTIR was a risk factor for the number of involved vessels. The Gensini score was negatively correlated with HbA1cTIR and positively correlated with SD-HbA1c at subgroups of subjects with a mean HbA1c ≤ 7%. Conclusions: Our analysis indicates that HbA1c variability, especially HbA1cTIR, plays a role for the severity of CAD in patients with T2DM. HbA1c variability may provide additional information and require management even at the glycemic target. Translational Aspects: Studies have shown that HbA1c variability is related to cardiovascular complications. Further, we explore the correlation between HbA1c variability and the severity of CAD. HbA1c variability is a risk factor for coronary stenosis in T2DM. It may be a potential indicator reflecting glycemic control for the prevention and treatment of cardiovascular complications.

Network Pharmacology Combined with Bioinformatics Analysis to Texplore the Potential Mechanism of Phellodendri Chinensis Cortex Against Bladder Cancer.

The pharmacological mechanism of Phellodendri Chinensis cortex (PCC) against diseases, especially bladder cancer (BC), has never been reported systematically. This study was designed to explore potential mechanism of PCC in treatment of BC. First, we used network pharmacology to discover the potential mechanism of Phellodendri Chinensis cortex and phellodendrine against bladder cancer. Then, we used bioinformatics analysis to verify the correlation between gene expression analysis, survival analysis and common targets. Finally, molecular docking was used to calculate the binding energies of phellodendrine and common targets.A total of 264 targets for PCC were predicted, and 391 BC-related targets were obtained from 4 databases. There were 54 potential targets, 315 biological processes, and 120 signaling pathways involved for PCC against BC. The CDKN2A expression increased and the ESR1, JUN, IL6, AR, and PTGS2 levels decreased in BC according to Gene Expression Profiling Interactive Analysis version 2. The high expression of JUN, MYC, EGFR, and EGF and low expression of VEGFA and PPARG were associated with short overall survival (OS). The high expression of AKT1, EGFR, and EGF and low expression of IL1ß were associated with poor disease-free survival (DFS). The search of the intersection of phellodendrine and BC targets yielded 11 common targets, 50 biological processes, and 13 signaling pathways involved. High AURKA and FASN and low ESR1, JUN, ABCB1, and PTGS1 were expressed in BC. The high expression of FASN, ABCC1, PTGS1, JUN, and PIK3CA was associated with short OS, the high expression of PIK3CA and ABCC1 was associated with poor DFS prognosis. Phellodendrine showed a better binding affinity for PTGS2 protein with a docking score of -7.183 and a MM-GBSA result of -46.47 kcal/mol. This study revealed potential mechanism of PCC and phellodendrine against BC through network pharmacology and bioinformatics.

Clinical outcomes after endoscopic resection and the risk of lymph node metastasis in rectal neuroendocrine tumors: a single-center retrospective study.

BACKGROUND AND AIM: The incidence of rectal neuroendocrine tumors (R-NETs) has increased in recent years. However, the predictors of lymph node (LN) metastasis and clinical outcomes, particularly following endoscopic treatment, remain unclear. Our study aims to elucidate the potential risk factors for LN metastasis and the clinical outcomes of patients undergoing endoscopic resection in R-NETs. METHODS: A total of 128 patients with R-NETs were retrospectively identified from a single center between June 2012 and December 2021. Risk factors for LN metastasis in R-NETs were analyzed using multivariate analysis. Additionally, the clinical outcomes of endoscopic resections in patients with R-NETs were assessed. RESULTS: In our study, 128 patients with R-NETs were retrospectively analyzed. The risk factors for LN metastasis determined by multivariate analysis were tumor size and patient age at diagnosis. Among the 111 patients treated with endoscopic resection and with tumor margin records available, 92 underwent endoscopic submucosal dissection (ESD) and 19 underwent conventional endoscopic mucosal resection (EMR). There was no significant difference between the two groups regarding the positive rates of basal tumor margin and lateral tumor margin. Furthermore, 64 patients who underwent endoscopic resection for R-NETs were successfully followed up (range, 1.64-76.71 months), during which only one patient developed local recurrence. CONCLUSION: Tumor size and age at diagnosis were predictors for LN metastasis of R-NETs. Both ESD and EMR are alternative techniques with a favorable prognosis for R-NETs, even in cases with positive resection margins. However, due to the relatively small number of patients undergoing EMR and missing data in follow-up protocols, definitive conclusions require further large-scale studies.

Evolutionary accumulation of FKS1 mutations from clinical echinocandin-resistant Candida auris.

INTRODUCTION: Drug resistance to echinocandins, first-line drugs used to treat Candida auris infection, is rapidly emerging. However, the accumulation of mutations in genes other than FKS1 (before an isolate develops to resistance via FKS1 mutations), remains poorly understood. Methods: Four clinical cases and 29 isolates associated with the incremental process of echinocandin resistance were collected and analyzed using antifungal drug susceptibility testing and genome sequencing to assess the evolution of echinocandin resistance. FINDINGS: Six echinocandin minimum inhibitory concentration (MIC)-elevated C. auris strains and seven resistant strains were isolated from the urinary system of patients receiving echinocandin treatment. Meanwhile, phylogenetic analyses illustrated that the echinocandin-resistant strains were closely related to other strains in the same patient. Genomic data revealed that the echinocandin-resistant strains had FKS1 mutations. Furthermore, three categories (ECN-S/E/R) of non-synonymous mutant SNP genes (such as RBR3, IFF6, MKC1, MPH1, RAD2, and MYO1) in C. auris appeared to be associated with the three-stage-evolutionary model of echinocandin resistance in C. glabrata: cell wall stress, drug adaptation, and genetic escape (FKS mutation). INTERPRETATION: Echinocandin-resistant C. auris undergoes spatial and temporal phase changes closely related to echinocandin exposure, particularly in the urinary system. These findings suggest that FKS1 mutations mediate an evolutionary accumulation of echinocandin resistance followed by modulation of chromosome remodelling and DNA repair processes that ultimately lead to FKS1 hot spot mutations and the development of drug resistance. This study provides an in-depth exploration of the molecular pathways involved in the evolution of Candida auris echinocandin resistance.

Autophagy in aging-related diseases and cancer: Principles, regulatory mechanisms and therapeutic potential.

Macroautophagy/autophagy is primarily accountable for the degradation of damaged organelles and toxic macromolecules in the cells. Regarding the essential function of autophagy for preserving cellular homeostasis, changes in, or dysfunction of, autophagy flux can lead to disease development. In the current paper, the complicated function of autophagy in aging-associated pathologies and cancer is evaluated, highlighting the underlying molecular mechanisms that can affect longevity and disease pathogenesis. As a natural biological process, a reduction in autophagy is observed with aging, resulting in an accumulation of cell damage and the development of different diseases, including neurological disorders, cardiovascular diseases, and cancer. The MTOR, AMPK, and ATG proteins demonstrate changes during aging, and they are promising therapeutic targets. Insulin/IGF1, TOR, PKA, AKT/PKB, caloric restriction and mitochondrial respiration are vital for lifespan regulation and can modulate or have an interaction with autophagy. The specific types of autophagy, such as mitophagy that degrades mitochondria, can regulate aging by affecting these organelles and eliminating those mitochondria with genomic mutations. Autophagy and its specific types contribute to the regulation of carcinogenesis and they are able to dually enhance or decrease cancer progression. Cancer hallmarks, including proliferation, metastasis, therapy resistance and immune reactions, are tightly regulated by autophagy, supporting the conclusion that autophagy is a promising target in cancer therapy.

Small non-coding RNA signatures in atrial appendages of patients with atrial fibrillation.

The development of high-throughput technologies has enhanced our understanding of small non-coding RNAs (sncRNAs) and their crucial roles in various diseases, including atrial fibrillation (AF). This study aimed to systematically delineate sncRNA profiles in AF patients. PANDORA-sequencing was used to examine the sncRNA profiles of atrial appendage tissues from AF and non-AF patients. Differentially expressed sncRNAs were identified using the R package DEGseq 2 with a fold change >2 and p < 0.05. The target genes of the differentially expressed sncRNAs were predicted using MiRanda and RNAhybrid. Gene Ontology (GO) categories and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. In AF patients, the most abundant sncRNAs were ribosomal RNA-derived small RNAs (rsRNAs), followed by transfer RNA-derived small RNAs (tsRNAs), and microRNAs (miRNAs). Compared with non-AF patients, 656 rsRNAs, 45 miRNAs, 191 tsRNAs and 51 small nucleolar RNAs (snoRNAs) were differentially expressed in AF patients, whereas no significantly differentially expressed piwi-interacting RNAs were identified. Two out of three tsRNAs were confirmed to be upregulated in AF patients by quantitative reverse transcriptase polymerase chain reaction, and higher plasma levels of tsRNA 5006c-LysCTT were associated with a 2.55-fold increased risk of all-cause death in AF patients (hazard ratio: 2.55; 95% confidence interval, 1.56-4.17; p < 0.001). Combined with our previous transcriptome sequencing results, 32 miRNA, 31 snoRNA, 110 nucleus-encoded tsRNA, and 33 mitochondria-encoded tsRNA target genes were dysregulated in AF patients. GO and KEGG analyses revealed enrichment of differentially expressed sncRNA target genes in AF-related pathways, including the 'calcium signaling pathway' and 'adrenergic signaling in cardiomyocytes.' The dysregulated sncRNA profiles in AF patients suggest their potential regulatory roles in AF pathogenesis. Further research is needed to investigate the specific mechanisms of sncRNAs in the development of AF and to explore potential biomarkers for AF treatment and prognosis.

Efficacy and safety of Tianqi Pingchan Granule, a compound Chinese herbal medicine, for levodopa-induced dyskinesia in Parkinson's disease: A randomized double-blind placebo-controlled trial.

BACKGROUND: Patients with Parkinson's disease (PD) undergoing long-term levodopa therapy are prone to develop levodopa-induced dyskinesia (LID). Amantadine is the main drug recommended for the treatment of LID by current guidelines, but it is far from meeting clinical needs. Tianqi Pingchan Granule (TPG), a compound Chinese herbal medicine, has been developed to relieve symptom of LID. OBJECTIVE: This randomized controlled trial evaluated the efficacy and safety of the combination of TPG and amantadine for LID. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This is a randomized double-blind placebo-controlled trial, conducted from January 2020 to August 2021 at 6 sites in Jiangsu, Zhejiang and Shanghai, China. One hundred PD patients with ≥ 0.5 h of LID were randomly assigned to either the TPG plus amantadine group (TPG group) or the placebo plus amantadine group (placebo group), and treated for a period of 12 weeks. To ensure unbiased results, all study participants, investigators and sponsors were unaware of group allocations. Additionally, the data analysts remained blinded until the analysis was finalized. MAIN OUTCOME MEASURES: The primary outcome was assessed using the Unified Dyskinesia Rating Scale (UDysRS) (Range 0-104). The key secondary end point was improvement of motor and non-motor symptoms. Safety analyses included all enrolled patients. RESULTS: One hundred patients were enrolled and randomized into the two treatment groups. The changes in UDysRS at week 12 were -11.02 for the TPG group and -4.19 for the placebo group (treatment difference -6.83 [-10.53 to -3.12]; P = 0.0004). Adverse events were reported for 2 of 50 patients (4.0%) in each of the groups. CONCLUSION: This study indicated that a 12-week treatment of amantadine plus TPG effectively reduced UDysRS scores and was well tolerated, demonstrating the efficacy and safety of TPG for the treatment of LID in PD. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04173832. PLEASE CITE THIS ARTICLE AS: Zhang Y, Zhu XB, Zhao Y, Cui GY, Li WT, Yuan CX, Huang JP, Wan Y, Wu N, Song L, Zhao JH, Liang Y, Xu CY, Liu MJ, Gao C, Chen XX, Liu ZG. Efficacy and safety of Tianqi Pingchan Granule, a compound Chinese herbal medicine, for levodopa-induced dyskinesia in Parkinson's disease: A randomized double-blind placebo-controlled trial. J Integr Med. 2024; Epub ahead of print.

SiamDCFF: Dynamic Cascade Feature Fusion for Vision Tracking.

Establishing an accurate and robust feature fusion mechanism is key to enhancing the tracking performance of single-object trackers based on a Siamese network. However, the output features of the depth-wise cross-correlation feature fusion module in fully convolutional trackers based on Siamese networks cannot establish global dependencies on the feature maps of a search area. This paper proposes a dynamic cascade feature fusion (DCFF) module by introducing a local feature guidance (LFG) module and dynamic attention modules (DAMs) after the depth-wise cross-correlation module to enhance the global dependency modeling capability during the feature fusion process. In this paper, a set of verification experiments is designed to investigate whether establishing global dependencies for the features output by the depth-wise cross-correlation operation can significantly improve the performance of fully convolutional trackers based on a Siamese network, providing experimental support for rational design of the structure of a dynamic cascade feature fusion module. Secondly, we integrate the dynamic cascade feature fusion module into the tracking framework based on a Siamese network, propose SiamDCFF, and evaluate it using public datasets. Compared with the baseline model, SiamDCFF demonstrated significant improvements.

A systematic review and meta-analysis of randomized controlled trials: effects of mediterranean diet and low-fat diet on liver enzymes and liver fat content of NAFLD.

Background: Non-alcoholic fatty liver disease (NAFLD) has emerged as a leading cause of several chronic diseases, imposing a significant global economic burden. The Mediterranean diet (MD) and low-fat diet (LFD) are the two primary recommended dietary patterns that exhibit distinct positive effects on treating NAFLD. Objective: To investigate which of the two diets, MD and LFD, is more effective in the treatment of NAFLD. Methods: Randomized controlled trials (RCTs) up to April 2024 were searched for in PubMed, Web of Science, Medline, Scopus and Embase. Interventions included MD or LFD, with primary outcome measures being intrahepatic lipid, liver stiffness, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, alanine aminotransferase, gamma-glutamyl transferase, and homeostasis model assessment of insulin resistance. Secondary outcomes included weight, waist circumference, and body mass index. Use of random effects meta-analysis to assess outcomes of interest. Results: meta-analysis revealed no significant differences between MD and LFD in improving liver enzymes, liver fat, and related indices in NAFLD patients. Our findings provide compelling evidence for patients and healthcare professionals, allowing patients to choose a dietary pattern that aligns with their preferences and disease conditions. In summary, both MD and LFD can equivalently ameliorate NAFLD in the short term. Conclusions: Our results show that MD and LFD have similar therapeutic effects on liver enzymes and liver fat content in patients with NAFLD in the short term. Furthermore, our meta-analysis results have also opened up a new avenue of thought as to whether similar effects are achieved by alternating MD and LFD on alternate days.

Tenecteplase versus alteplase for acute ischaemic stroke in the elderly patients: a post hoc analysis of the TRACE-2 trial.

BACKGROUND: The benefit-risk profile of tenecteplase in the elderly patients with acute ischaemic stroke (AIS) is uncertain. We sought to investigate the efficacy and safety of 0.25 mg/kg tenecteplase compared with alteplase for AIS patients aged ≥80 years. METHODS: We performed a post hoc analysis of the Tenecteplase Reperfusion Therapy in Acute Ischaemic Cerebrovascular Events-2 Trial, a randomised, phase 3, non-inferiority clinical trial. Disabling AIS patients aged ≥80 years who initiated intravenous thrombolytics within 4.5 hours of symptom onset were enrolled from June 2021 to May 2022 across 53 centres in China and were randomly allocated to receive 0.25 mg/kg tenecteplase or 0.9 mg/kg alteplase. The primary efficacy outcome was the proportion of participants with a modified Rankin Scale (mRS) score of 0-1 at 90 days. Symptomatic intracranial haemorrhage (sICH) within 36 hours was the safety outcome. RESULTS: Of 137 participants, mRS 0-1 at 90 days occurred in 37 (49.3%) of 75 in the tenecteplase group vs 20 (33.9%) of 59 in the alteplase group (risk ratio (RR) 1.47, 95% CI 0.96 to 2.23). sICH within 36 hours was observed in 3 (4.0%) of 76 in the tenecteplase group and two (3.3%) of 61 in the alteplase group (RR 1.30, 95% CI 0.20 to 8.41). CONCLUSIONS: The risk-benefit profile of tenecteplase thrombolysis was preserved in the elderly patients, which lends further support to intravenous 0.25 mg/kg tenecteplase as an alternative to alteplase in these patients.

Neuroendoscopic Parafascicular Evacuation of Spontaneous Intracerebral Hemorrhage (NESICH Technique): A Multicenter Technical Experience with Preliminary Findings.

INTRODUCTION: Intracerebral hemorrhage (ICH) is a severe manifestation of stroke, demonstrating notably elevated global mortality and morbidity. Thus far, effective therapeutic strategies for ICH have proven elusive. Currently, minimally invasive techniques are widely employed for ICH management, particularly using endoscopic hematoma evacuation in cases of deep ICH. Exploration of strategies to achieve meticulous surgery and diminish iatrogenic harm, especially to the corticospinal tract, with the objective of enhancing the neurological prognosis of patients, needs further efforts. METHODS: We comprehensively collected detailed demographic, clinical, radiographic, surgical, and postoperative treatment and recovery data for patients who underwent endoscopic hematoma removal. This thorough inclusion of data intends to offer a comprehensive overview of our technical experience in this study. RESULTS: One hundred fifty-four eligible patients with deep supratentorial intracerebral hemorrhage who underwent endoscopic hematoma removal were included in this study. The mean hematoma volume was 42 ml, with 74 instances of left-sided hematoma and 80 cases of right-sided hematoma. The median Glasgow Coma Scale (GCS) score at admission was 10 (range from 4 to 15), and the median time from symptom onset to surgery was 18 (range 2 to 96) h. The mean hematoma clearance rate was 89%. The rebleeding and mortality rates within 1 month after surgery were 3.2% and 7.8%, respectively. At the 6-month mark, the proportion of patients with modified Rankin Scale (mRS) scores of 0-3 was 58.4%. CONCLUSION: Both the reduction of surgery-related injury and the protection of the residual corticospinal tract through endoscopic hematoma removal may potentially enhance neurological functional outcomes in patients with deep ICH, warranting validation in a forthcoming multicenter clinical study.

Interaction of anthocyanins, soluble dietary fiber and waxy rice starch: Their effect on freeze-thaw stability, water migration, and pasting, rheological and microstructural properties of starch gels.

This study aimed to investigate the effect of the interaction of black rice anthocyanins (BRA), soluble dietary fiber from extruded rice bran (ES) and waxy rice starch (WRS) on the physicochemical properties of starch gels, including gelatinization properties, rheological properties, freeze-thaw stability, water migration, molecular structure and gel microstructure. The results showed that the pasting temperature (PT) of the mixtures was increased, and the peak viscosity (PV), trough viscosity (TV), final viscosity (FV) and setback viscosity (SV) were significantly reduced when ES and BRA were added to WRS in different proportions (ES:BRA, 4:0, 4:0.4, 4:1, 4:2, 8:0, 8:0.8, 8:2, 8:4). Both ES and BRA could enhance the viscosity of WRS gels, and ES exhibited strong ability on improving the strength of gels. The presence of ES and BRA improved the water retaining capacity of WRS gels, but weakened the freeze-thaw stability. ES, BRA and WRS formed non-covalent bonds (hydrogen bonds) through hydrophilic groups during gelatinization, which improved the gel properties. In addition, the steric hindrance formed by ES and BRA inhibited starch retrogradation. These results might contribute to the development of starch-based food formulations with good quality.

An extracellular vesicle microRNA-initiated 3D DNAzyme motor for colorectal cancer diagnosis.

MicroRNA is regarded as a significant biomarker for cancer diagnosis, disease process evaluation and therapeutic guidance, and dual-parameter measurement may contribute to a more accurate and realistic assessment. To meet the urgent need for simultaneous detection of multiple biomarkers, we combined three-dimensional DNAzyme motors with single molecule imaging technique to construct a convenient, intuitive, and sensitive approach for the simultaneous detection of dual miRNAs in the free state or in extracellular vesicles. Quantification of target miRNAs can be realized through the detection of amplified fluorescence signals generated by the target miRNA-initiated cleavage of fluorescent substrate strands by the DNAzyme motors. The practicability was systematically validated with microRNA-21-5p and microRNA-10b-5p as targets, acquiring a satisfactory sensitivity sufficient to detect low abundance targets at 0.5 or 1 pM to 100 pM. Besides, the extracellular vesicular miRNAs can be conveniently detected without extraction. The clinical applicability was verified with a series of extracellular vesicles from clinical samples, which exhibited good distinguishability between colorectal cancer patients and healthy donors. In addition to the advantages of good specificity and high sensitivity, the system has potential to be easily adapted by minor alteration of the DNA sequences and fluorophore sets for detection of multiple miRNAs and even other types of biomarkers such as proteins. Therefore, it shows promise to be widely applied in various fields such as early diagnosis of cancer and its prognostic assessment.

Additive partitioning of multispecies distributional aggregation of local assemblages.

The distribution of species is not random in space. At the finest-resolution spatial scale, that is, field sampling locations, distributional aggregation level of different species would be determined by various factors, for example spatial autocorrelation or environmental filtering. However, few studies have quantitatively measured the importance of these factors. In this study, inspired by the statistical properties of a Markov transition model, we propose a novel additive framework to partition local multispecies distributional aggregation levels for sequential sampling-derived field biodiversity data. The framework partitions the spatial distributional aggregation of different species into two independent components: regional abundance variability and the local spatial inertia effect. Empirical studies from field amphibian surveys through line-transect sampling in southwestern China (Minya Konka) and central-southern Vietnam showed that local spatial inertia was always the dominant mechanism structuring the local occurrence and distributional aggregation of amphibians in the two regions with a latitudinal gradient from 1200 to nearly 4000 m. However, regional abundance variability is still nonnegligible in highly diverse tropical regions (i.e. Vietnam) where the altitude is not higher than 2000 m. In summary, we propose a novel framework that shows that the multispecies distributional aggregation level can be structured by two additive components. The two partitioned components could be theoretically independent. These findings are expected to deepen our understanding of the local community structure from the perspective of both spatial distribution and regional diversity patterns. The partitioning framework might have potential applications in field ecology and macroecology research.

Multispectral 3D DNA Machine Combined with Multimodal Machine Learning for Noninvasive Precise Diagnosis of Bladder Cancer.

Extracellular vesicle (EV) molecular phenotyping offers enormous opportunities for cancer diagnostics. However, the majority of the associated studies adopted biomarker-based unimodal analysis to achieve cancer diagnosis, which has high false positives and low precision. Herein, we report a multimodal platform for the high-precision diagnosis of bladder cancer (BCa) through a multispectral 3D DNA machine in combination with a multimodal machine learning (ML) algorithm. The DNA machine was constructed using magnetic microparticles (MNPs) functionalized with aptamers that specifically identify the target of interest, i.e., five protein markers on bladder-cancer-derived urinary EVs (uEVs). The aptamers were hybridized with DNA-stabilized silver nanoclusters (DNA/AgNCs) and a G-quadruplex/hemin complex to form a sensing module. Such a DNA machine ensured multispectral detection of protein markers by fluorescence (FL), inductively coupled plasma mass spectrometry (ICP-MS), and UV-vis absorption (Abs). The obtained data sets then underwent uni- or multimodal ML for BCa diagnosis to compare the analytical performance. In this study, urine samples were obtained from our prospective cohort (n = 45). Our analytical results showed that the 3D DNA machine provided a detection limit of 9.2 × 103 particles mL-1 with a linear range of 4 × 104 to 5 × 107 particles mL-1 for uEVs. Moreover, the multimodal data fusion model exhibited an accuracy of 95.0%, a precision of 93.1%, and a recall rate of 93.2% on average, while those of the three types of unimodal models were no more than 91%. The elevated diagnosis precision by using the present fusion platform offers a perspective approach to diminishing the rate of misdiagnosis and overtreatment of BCa.