Alteration of the large-scale white-matter functional networks in autism spectrum disorder.

Autism spectrum disorder is a neurodevelopmental disorder whose core deficit is social dysfunction. Previous studies have indicated that structural changes in white matter are associated with autism spectrum disorder. However, few studies have explored the alteration of the large-scale white-matter functional networks in autism spectrum disorder. Here, we identified ten white-matter functional networks on resting-state functional magnetic resonance imaging data using the K-means clustering algorithm. Compared with the white matter and white-matter functional network connectivity of the healthy controls group, we found significantly decreased white matter and white-matter functional network connectivity mainly located within the Occipital network, Middle temporo-frontal network, and Deep network in autism spectrum disorder. Compared with healthy controls, findings from white-matter gray-matter functional network connectivity showed the decreased white-matter gray-matter functional network connectivity mainly distributing in the Occipital network and Deep network. Moreover, we compared the spontaneous activity of white-matter functional networks between the two groups. We found that the spontaneous activity of Middle temporo-frontal and Deep network was significantly decreased in autism spectrum disorder. Finally, the correlation analysis showed that the white matter and white-matter functional network connectivity between the Middle temporo-frontal network and others networks and the spontaneous activity of the Deep network were significantly correlated with the Social Responsiveness Scale scores of autism spectrum disorder. Together, our findings indicate that changes in the white-matter functional networks are associated behavioral deficits in autism spectrum disorder.

The relationships between dynamic resting-state networks and social behavior in autism spectrum disorder revealed by fuzzy entropy-based temporal variability analysis of large-scale network.

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder characterized by a core deficit in social processes. However, it is still unclear whether the core clinical symptoms of the disorder can be reflected by the temporal variability of resting-state network functional connectivity (FC). In this article, we examined the large-scale network FC temporal variability at the local region, within-network, and between-network levels using the fuzzy entropy technique. Then, we correlated the network FC temporal variability to social-related scores. We found that the social behavior correlated with the FC temporal variability of the precuneus, parietal, occipital, temporal, and precentral. Our results also showed that social behavior was significantly negatively correlated with the temporal variability of FC within the default mode network, between the frontoparietal network and cingulo-opercular task control network, and the dorsal attention network. In contrast, social behavior correlated significantly positively with the temporal variability of FC within the subcortical network. Finally, using temporal variability as a feature, we construct a model to predict the social score of ASD. These findings suggest that the network FC temporal variability has a close relationship with social behavioral inflexibility in ASD and may serve as a potential biomarker for predicting ASD symptom severity.

Migration-inducing gene-7 promotes glioma cell proliferation and invasiveness via activating the MAPK signaling pathway.

Glioma is a highly aggressive primary malignant tumor. Migration-inducing gene-7 (Mig-7) is closely related to tumor invasion and metastasis. However, the detailed molecular mechanism of Mig-7-mediated promotion of glioma cell invasion requires further investigation. Therefore, this study aimed to investigate the molecular mechanism by which Mig-7 promotes invasion and growth of glioma tumor cells. After collecting 65 glioma tissues and 16 non-tumor tissues, the expression difference of Mig-7 between tumor tissues and non-tumor tissues was analyzed. The molecular mechanism of Mig-7 in tumor cells was investigated by knockdown or overexpression of Mig-7 in U87MG cells. Specifically, the expression levels of mitogen-activated protein kinase (MAPK) signaling pathway-related molecules were detected in cells that knocked down Mig-7. MTT, Transwell, and three-dimensional cell culture assays were used to detect the survival, migration, invasion, and tube formation of U87MG cells that overexpressed Mig-7 were treated with the MAPK signaling pathway inhibitors (SP600125, SCH772984, and SB202190). The effect of Mig-7 on the tumorigenic ability of U87MG cells was investigated by subcutaneous tumorigenic experiment in nude mice. The corresponding results indicated that Mig-7 expression was significantly higher in glioma tissues and cell lines compared to that in non-neoplastic brain tissues and normal glial cell lines. In U87MG cells, downregulation or overexpression of Mig-7 inhibited or promoted the expression of MMP-2, MMP-9, LAMC2, EphA2, and VE-cadherin, and phosphorylation levels of ERK1/2, JNK, and p38. Mig-7 overexpression promoted migration, invasion, cell viability, and tube formation, which were reversed by the MAPK signaling pathway inhibitors. Mig-7 overexpression promoted subcutaneous tumor growth in mice and upregulated the phosphorylation levels of ERK1/2, JNK, and p38 and the expression of Ki-67. These effects of Mig-7 overexpression were reversed by MAPK pathway inhibitors. Overall, these results suggest that Mig-7 may be a novel biomarker and potential therapeutic target for glioma, with the MAPK pathway playing a key role in the corresponding Mig-7 mechanism of action.

Research Progress on Microbial Community Succession in the Postmortem Interval Estimation.

The postmortem interval (PMI) estimation is a key and difficult point in the practice of forensic medicine, and forensic scientists at home and abroad have been searching for objective, quantifiable and accurate methods of PMI estimation. With the development and combination of high-throughput sequencing technology and artificial intelligence technology, the establishment of PMI model based on the succession of the microbial community on corpses has become a research focus in the field of forensic medicine. This paper reviews the technical methods, research applications and influencing factors of microbial community in PMI estimation explored by using high-throughput sequencing technology, to provide a reference for the related research on the use of microbial community to estimate PMI.

The identification and validation of EphA7 hypermethylation, a novel biomarker, in cervical cancer.

BACKGROUND: Aberrant methylation of EphA7 has been reported in the process of carcinogenesis but not in cervical cancer. Therefore, an integration study was performed to explore the association between EphA7 hypermethylation and cervical cancer and validate the potential value of EphA7 hypermethylation in the diagnosis of cervical cancer. METHODS: We performed an integration study to identify and validate the association between EphA7 methylation and cervical cancer. First, data on EphA7 methylation and expression in cervical cancer were extracted and analyzed via bioinformatics tools. Subsequently, CRISPR-based methylation perturbation tools (dCas9-Tet1/DNMT3a) were constructed to further demonstrate the association between DNA methylation and EphA7 expression. Ultimately, the clinical value of EphA7 methylation in cervical cancer was validated in cervical tissues and Thinprep cytologic test (TCT) samples by methylation-specific PCR (MSP) and quantitative methylation-specific PCR (QMSP), respectively. RESULTS: Pooled analysis showed that EphA7 promoter methylation levels were significantly increased in cervical cancer compared to normal tissues (P < 0.001) and negatively correlated with EphA7 expression. These prediction results were subsequently confirmed in cell lines; moreover, CRISPR-based methylation perturbation tools (dCas9-Tet1/DNMT3a) demonstrated that DNA methylation participates in the regulation of EphA7 expression directly. Consistent with these findings, the methylation level and the positive rate of EphA7 gradually increased with severity from normal to cancer stages in TCT samples (P < 0.01). CONCLUSIONS: EphA7 hypermethylation is present in cervical cancer and is a potential biomarker for the diagnosis of cervical cancer.

Concordance analysis of diatom types and patterns in lung tissue and drowning medium in laboratory animal model.

Diatom test has been widely used in the diagnosis of drowning and inferring the drowning site. One of the issues is whether the concordance of the diatom types and patterns between the drowning victim's organs and media should be considered an essential requirement for the diagnosis of drowning. In this study, lung tissues from 20 rabbits and drowning media were studied by the Microwave Digestion-Vacuum Filtration-Automated Scanning Electron Microscopy method, and four methods, type consistency, coefficient of similarity, squared-chord distance, and cluster analysis, were introduced to analyze the diatom types and patterns for evaluating the value of diatom consistency in drowning cases. The results showed that diatom types and patterns in lung tissues do not perfectly match the drowning medium, and they are sometimes concordant with the drowning medium sampled from other than drowning site. We should be cautious when using diatom detection to infer drowning sites.

Mapping Progressive Gray Matter Alterations in Early Childhood Autistic Brain.

Autism spectrum disorder is an early-onset neurodevelopmental condition. This study aimed to investigate the progressive structural alterations in the autistic brain during early childhood. Structural magnetic resonance imaging scans were examined in a cross-sectional sample of 67 autistic children and 63 demographically matched typically developing (TD) children, aged 2-7 years. Voxel-based morphometry and a general linear model were used to ascertain the effects of diagnosis, age, and a diagnosis-by-age interaction on the gray matter volume. Causal structural covariance network analysis was performed to map the interregional influences of brain structural alterations with increasing age. The autism group showed spatially distributed increases in gray matter volume when controlling for age-related effects, compared with TD children. A significant diagnosis-by-age interaction effect was observed in the fusiform face area (FFA, Fpeak = 13.57) and cerebellum/vermis (Fpeak = 12.73). Compared with TD children, the gray matter development of the FFA in autism displayed altered influences on that of the social brain network regions (false discovery rate corrected, P < 0.05). Our findings indicate the atypical neurodevelopment of the FFA in the autistic brain during early childhood and highlight altered developmental effects of this region on the social brain network.

Transradial versus transfemoral access for endovascular therapy of intracranial aneurysms: a systematic review and meta-analysis of cohort studies.

Endovascular treatment is widely used in the treatment of intracranial aneurysms. However, neurosurgeons are sceptical about endovascular access via the radial artery. We performed a systematic review and meta-analysis to compare the effectiveness and safety of transradial and transfemoral artery access in patients with intracranial aneurysms. We systematically searched the PubMed, Embase, and Cochrane databases for studies comparing the two approaches. The primary outcome was total complications, and the secondary outcomes were access site complications, intracranial haemorrhage, stroke, thromboembolism, silent infarct, re-treatment rate, mortality, complete occlusion of intracranial aneurysms, procedure duration, and length of hospital stay. A random-effects model was used to assess the pooled data. Of the 100 identified studies, 6 were eligible (a total of 3764 participants). There were no significant differences in total complications(odds ratio [OR] = 0.69, 95% confidence interval [CI] [0.33, 1.45], p = 0.32), complete occlusion of intracranial aneurysms (OR = 1.02, 95%CI [0.77,1.37], p = 0.87), procedure duration (mean difference [MD] = - 6.24, 95%CI [- 14.75, - 1.54], p = 0.95), or length of hospital stay (MD = 2.204, 95%CI [- 0.05, 4.45], p = 0.95), access site complications (OR = 0.49, 95%CI [0.16, 1.52], p = 0.22), intracranial haemorrhage (OR = 1.07, 95%CI [0.49, 2.34], p = 0.86), stroke (OR = 0.59, 95%CI [0.20, 1.77], p = 0.35), thromboembolism (OR = 0.85, 95%CI [0.33, 2.17], p = 0.74), silent infarct (OR = 0.69, 95%CI [0.04, 11.80], p = 0.80), retreatment rate (OR = 1.32, 95%CI [0.70, 2.48], p = 0.39), mortality (OR = 1.41, 95%CI [0.06, 5.20], p = 0.61), immediate occlusion (OR = 0.99, 95%CI [0.64, 1.51], p = 0.95), and occlusion during follow-up (OR = 1.10, 95%CI [0.56, 2.16], p = 0.74) between the transradial and transfemoral groups. This study showed comparable safety and efficacy outcomes between transradial and transfemoral access in patients with intracranial aneurysms treated endovascularly. Future large randomised trials are warranted to confirm these findings.

Pathway of Diatoms Enter Experimental Rabbits through the Lymphatic System of the Digestive Tract.

OBJECTIVES: To study whether diatoms can enter the body through the lymphatic system of the digestive tract. METHODS: Twenty experimental rabbits were divided into the test group and the control group randomly, and intragastric administration was performed with 20 mL water sample from the Pearl River and 20 mL ultrapure water, respectively. After 30 min, lymph, lungs, livers and kidneys were extracted for the diatom test. The concentration, size and type of diatoms were recorded. RESULTS: The concentration of diatoms of the test group was higher than that of the control group (P<0.05). In the test group, Stephanodiscus, Coscinodiscus, Cyclotella, Melosira, Nitzschia, Synedra, Cymbella, and Navicula were detected; in the control group, Stephanodiscus, Coscinodiscus and Cyclotella were detected. The long diameter and the short diameter of diatoms of the test group were higher than those of the control group (P<0.05). In the test group, 1-2 diatoms were detected in 3 lung samples and 2 liver samples, which were Stephanodiscus or Cyclotella, and no diatoms were detected in the kidney samples; in the control group, 1-2 diatoms were detected in 2 lung samples and 3 liver samples, which were Stephanodiscus or Coscinodiscus, and no diatoms were detected in the kidney samples. CONCLUSIONS: Diatoms can enter the body through the lymphatic fluid, which is one of the reasons for the presence of diatoms in tissues and organs of non-drowning cadavers.

Effects of Digestive Temperature and Time on Diatom Test.

OBJECTIVES: To study the effects of temperature and time for diatoms digestion and find out suitable digestive temperature and time. METHODS: Eighty pieces of liver tissues were collected, each piece of tissue was 2 g, and 2 mL Pearl River water was added to each piece of tissue. The digestion temperature was set at 100 ℃, 120 ℃, 140 ℃, 160 ℃, 180 ℃ and the digestion time was set at 40, 50, 60, 70, 80 min. The liver tissue and water mixture were divided into 8 portions in each group. All the samples were tested by microwave digestive - vacuum filtration - automated scanning electron microscopy method. The quantity of diatom recovered and the quality of residue on the membrane were recorded. RESULTS: When the digestion time was set to 60 min, there were statistically significant differences in the number of diatoms recovered at different temperatures (P<0.05). The maximum number of diatoms recovered was (28 797.50±6 009.67) at 140 ℃, and the minimum residue was (0.60±0.28) mg at 180 ℃. When the digestion temperature was set at 140 ℃, there were statistically significant differences in the number of diatoms recovered at different digestion times (P<0.05). The number of diatoms recovered was the highest at 40 min, it was up to (20 650.88±1 950.29), and the residue quality of each group had no statistical significance among different digestion time groups(P>0.05). CONCLUSIONS: The effect of diatom digestion is related to temperature and time. When the digestion temperature was 140 ℃ and the digestion time was 40, 50 and 60 min, it is favorable for diatom test.

Application of Diatoms Quantitative Analysis in the Diagnosis of Drowning.

OBJECTIVES: To retrospectively analyze diatom test cases of corpses in water and discuss the value of quantitative analysis of diatoms in the diagnosis of drowning. METHODS: A total of 490 cases of water-related death were collected. They were divided into drowning group and postmortem immersion group according to the cause of death. Diatoms in lung, liver, kidney tissue and water sample were analyzed quantitatively by microwave digestion-vacuum filtration-automated scanning electron microscopy (MD-VF-Auto SEM) method. The ratios of content of diatoms in lung tissue and water sample (CL/CD) were calculated. RESULTS: The results of diatom test for three organs (lung, liver and kidney) were all positive in 400 cases (85.5%); the content of diatom in lung, liver, kidney tissues, and water samples of drowning group were (113 235.9±317 868.1), (26.7±75.6), (23.3±52.2) and (12 113.3±21 760.0) cells/10 g, respectively; the species of diatom were (7.5±2.8), (2.6±1.9), (2.9±2.1) and (8.9±3.0) types, respectively; the CL/CD of drowning group and postmortem immersion group were (100.6±830.7) and (0.3±0.4), respectively. CONCLUSIONS: Quantitative analysis of diatoms can provide supportive evidence for the diagnosis of drowning, and the parameter CL/CD can be introduced into the analysis to make a more accurate diagnosis of drowning.

Comparison of Application of MD-VF-Auto SEM Method and Plankton Gene Multiplex PCR System in the Diagnosis of Drowning.

OBJECTIVES: To compare the application effect of microwave digestion - vacuum filtration - automated scanning electron microscopy (MD-VF-Auto SEM) method and plankton gene multiplex PCR system in the diagnosis of drowning. METHODS: Lung, liver and kidney tissue of 10 non-drowning cases and 50 drowning cases were prepared for further MD-VF-Auto SEM method analysis and plankton gene multiplex PCR system analysis. The positive detection rate of the two methods in each tissue was calculated. RESULTS: The positive rate of the MD-VF-Auto SEM method detecting diatoms in drowning cases was 100%, and few diatoms were detected in the liver and kidney tissues of 6 non-drowning cases. By using the plankton gene multiplex PCR system, the diatom positive rate of drowning cases was 84%, and all the non-drowning cases were negative. There were significant differences in the positive rate of the liver, kidney tissues between MD-VF-Auto SEM method and plankton gene multiplex PCR system (P<0.05), as well as the total positive rate of cases. However, no significant differences were found in the positive rates of lung tissues (P>0.05). CONCLUSIONS: MD-VF-Auto SEM method is more sensitive than plankton gene multiplex PCR system in diatom test. But the plankton gene multiplex PCR system can also detect plankton other than diatoms. Combination of the two methods can provide a more reliable basis for the diagnosis of drowning.

Individual-based morphological brain network organization and its association with autistic symptoms in young children with autism spectrum disorder.

Individual-based morphological brain networks built from T1-weighted magnetic resonance imaging (MRI) reflect synchronous maturation intensities between anatomical regions at the individual level. Autism spectrum disorder (ASD) is a socio-cognitive and neurodevelopmental disorder with high neuroanatomical heterogeneity, but the specific patterns of morphological networks in ASD remain largely unexplored at the individual level. In this study, individual-based morphological networks were constructed by using high-resolution structural MRI data from 40 young children with ASD (age range: 2-8 years) and 38 age-, gender-, and handedness-matched typically developing children (TDC). Measurements were recorded as threefold. Results showed that compared with TDC, young children with ASD exhibited lower values of small-worldness (i.e., σ) of individual-level morphological brain networks, increased morphological connectivity in cortico-striatum-thalamic-cortical (CSTC) circuitry, and decreased morphological connectivity in the cortico-cortical network. In addition, morphological connectivity abnormalities can predict the severity of social communication deficits in young children with ASD, thus confirming an associational impact at the behavioral level. These findings suggest that the morphological brain network in the autistic developmental brain is inefficient in segregating and distributing information. The results also highlight the crucial role of abnormal morphological connectivity patterns in the socio-cognitive deficits of ASD and support the possible use of the aberrant developmental patterns of morphological brain networks in revealing new clinically-relevant biomarkers for ASD.

Automated diatom searching in the digital scanning electron microscopy images of drowning cases using the deep neural networks.

Forensic diatom test has been widely accepted as a way of providing supportive evidences in the diagnosis of drowning. The current workflow is primarily based on the observation of diatoms by forensic pathologists under a microscopy, and this process can be very time-consuming. In this paper, we demonstrate a deep learning-based approach for automatically searching diatoms in scanning electron microscopic images. Cross-validation studies were performed to evaluate the influence of magnification on performance. Moreover, various training strategies were tested to improve the performance of detection. The conclusion shows that our approach can satisfy the necessary requirements to be integrated as part of an automatic forensic diatom test.

The length and width of diatoms in drowning cases as the evidence of diatoms penetrating the alveoli-capillary barrier.

Forensic diatom test has been considered as a significant tool for diagnosis of drowning. Most of the studies in this field discussed the methodology of extracting, enriching and detecting diatoms from different tissues and drowning media. There are few studies on the basic principle of diatom test which was based on the theory developed by forensic scientists many years ago. This study was designed to analyze the length and width of diatoms in different organs and drowning medium samples of drowning cases. This study is designed to find evidence of diatoms penetrating the alveoli-capillary barrier. Samples from 100 drowning cases were analyzed using the methodology we developed: the Microwave Digestion-Vacuum Filtration-Automated Scanning Electron Microscopy method (MD-VF-Auto SEM method). The results showed that the length and width of diatoms in the liver and kidney tissues are smaller than that of the lung tissues and water samples. Our studies also found that the pennate diatoms are easier to penetrate through the alveoli-capillary barrier, travel in the blood stream and finally deposit in the distant tissues including liver and kidney. These findings provided evidences to support the process of diatoms penetrating the alveoli-capillary barrier.

Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.

The accurate identification of an attention deficit hyperactivity disorder (ADHD) subject has remained a challenge for both neuroscience research and clinical diagnosis. Unfortunately, the traditional methods concerning the classification model and feature extraction usually depend on the single-channel model and static measurements (i.e., functional connectivity, FC) in the small, homogenous single-site dataset, which is limited and may cause the loss of intrinsic information in functional MRI (fMRI). In this study, we proposed a new two-stage network structure by combing a separated channel convolutional neural network (SC-CNN) with an attention-based network (SC-CNN-attention) to discriminate ADHD and healthy controls on a large-scale multi-site database (5 sites and n = 1019). To utilize both intrinsic temporal feature and the interactions of temporal dependent in whole-brain resting-state fMRI, in the first stage of our proposed network structure, a SC- CNN is used to learn the temporal feature of each brain region, and an attention network in the second stage is adopted to capture temporal dependent features among regions and extract fusion features. Using a "leave-one-site-out" cross-validation framework, our proposed method obtained a mean classification accuracy of 68.6% on five different sites, which is higher than those reported in previous studies. The classification results demonstrate that our proposed network is robust to data variants and is also replicated across sites. The combination of the SC-CNN with the attention network is powerful to capture the intrinsic fMRI information to discriminate ADHD across multi-site resting-state fMRI data.

[Impurity removal technology of Tongan injection in liquid preparation process].

In order to effectively remove the invalid impurities in Tongan injection, optimize the optimal parameters of the impurity removal technology of liquid mixing process, in this paper, taking Tongan injection as the research object, with the contents of celandine alkali, and sinomenine, solids reduction efficiency, and related substances inspection as the evaluation indexes, the removal of impurities and related substances by the combined process of refrigeration, coction and activated carbon adsorption were investigated, the feasibility of the impurity removal method was definited and the process parameters were optimized. The optimized process parameters were as follows: refrigerated for 36 h, boiled for 15 min, activated carbon dosage of 0.3%, temperature 100 degrees C, adsorption time 10 min. It can effectively remove the tannin, and other impurities, thus ensure the quality and safety of products.

Identifying rhodamine dye plume sources in near-shore oceanic environments by integration of chemical and visual sensors.

This article presents a strategy for identifying the source location of a chemical plume in near-shore oceanic environments where the plume is developed under the influence of turbulence, tides and waves. This strategy includes two modules: source declaration (or identification) and source verification embedded in a subsumption architecture. Algorithms for source identification are derived from the moth-inspired plume tracing strategies based on a chemical sensor. The in-water test missions, conducted in November 2002 at San Clemente Island (California, USA) in June 2003 in Duck (North Carolina, USA) and in October 2010 at Dalian Bay (China), successfully identified the source locations after autonomous underwater vehicles tracked the rhodamine dye plumes with a significant meander over 100 meters. The objective of the verification module is to verify the declared plume source using a visual sensor. Because images taken in near shore oceanic environments are very vague and colors in the images are not well-defined, we adopt a fuzzy color extractor to segment the color components and recognize the chemical plume and its source by measuring color similarity. The source verification module is tested by images taken during the CPT missions.

Expression of Histone H1 in Rats with Traumatic Brain Injury and the Effect of the NLRP3 Inflammasome Pathway.

OBJECTIVE: To explore expression of histone H1 after traumatic brain injury (TBI) and the effect of the nucleotide-binding domain and leucine-rich repeat protein 3 (NLRP3) inflammasome pathway on its expression. METHODS: Of 24 rats, 15 were randomly divided into a sham and 4 TBI groups, with 3 rats in each group; the remaining 9 rats were randomly divided into sham group, TBI group, and TBI+CY-09 group, with 3 rats in each group. The expression of histone H1 in rat serum was detected by enzyme-linked immunosorbent assay; Western blot was used to detect the expression of target protein in the injured brain tissue of rats. RESULTS: On the 3rd day after TBI, compared with the sham group, the expression of histone H1 was decreased (P < 0.05). After inhibiting the NLRP3 inflammasome pathway with CY-09, expressions of IL-1ß, IL-18, and histone H1 in rat-injured brain tissue in the TBI+CY-09 group were decreased compared with the TBI group (P < 0.05). CONCLUSIONS: The expression of histone H1 decreased significantly from the 3rd day after TBI. Inhibiting the NLRP3 inflammasome pathway may reduce the expression of histone H1. The expression of histone H1 was affected by the microglia-related central nervous system inflammatory response.

Prevalence and Molecular Characterization of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Diarrheic and Non-Diarrheic Calves from Ningxia, Northwestern China.

Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi are significant parasitic gastrointestinal pathogens with global distribution in humans and domestic animals, including calves. The main symptoms of calf infection are severe diarrhea, dehydration, growth retardation, and sometimes even death. To date, there has been limited information on the prevalence of Cryptosporidium spp., G. duodenalis, and E. bieneusi infections in calves in Ningxia, China, especially between diarrheic and non-diarrheic calves. A total of 438 fecal samples were collected from diarrheic (201) and non-diarrheic (237) calves in Ningxia. PCR and DNA sequencing were used to find the prevalence of Cryptosporidium spp. at 46.8% (205/438), G. duodenalis at 16.9% (74/438), and E. bieneusi at 10.0% (44/438). The prevalence of Cryptosporidium spp. infection in diarrheic and non-diarrheic calves was 54.0% (128/237) and 38.3% (77/201), respectively, and statistical analysis showed a positive correlation between the prevalence of Cryptosporidium spp. infection and calf diarrhea (p < 0.01). However, in this study, there was no statistical correlation between the prevalence of G. duodenalis infection as well as E. bieneusi infection and calf diarrhea (p > 0.05). Furthermore, four known Cryptosporidium species were successfully identified by comparing them with SSU rRNA gene sequences, including C. parvum, C. bovis, C. ryanae, and C. andersoni. In addition, all 74 G. duodenalis-positive samples were identified as assemblage E by comparative analysis of bg gene sequences. Among the 44 E. bieneusi-positive samples sequenced in the present study, 4 distinct E. bieneusi genotypes were successfully identified by comparative analysis of ITS sequences, including 3 known genotypes (J, BEB4, and N) and 1 novel genotype, the latter of which was identified and designated as NX1. These findings indicated that the high genetic diversity and complex population structures of Cryptosporidium spp., G. duodenalis, and E. bieneusi in Ningxia diarrhea calves and non-diarrhea calves, which provide new data for understanding the epidemiological status of Cryptosporidium spp., G. duodenalis, and E. bieneusi in Ningxia calves.