Artificial intelligence interpretation of touch print smear cytology of testicular specimen from patients with azoospermia.

PURPOSE: Identification of mature sperm at microdissection testicular sperm extraction (mTESE) is a crucial step of sperm retrieval to help patients with non-obstructive azoospermia (NOA) proceed to intracytoplasmic sperm injection. Touch print smear (TPS) cytology allows immediate interpretation and prompt sperm identification intraoperatively. In this study, we leverage machine learning (ML) to facilitate TPS reading and conquer the learning curve for new operators. MATERIALS AND METHODS: One hundred seventy-six microscopic TPS images from the testicular specimen of patients with azoospermia at Taipei Veterans General Hospital were retrospectively collected, including categories of Sertoli cell, primary spermatocytes, round spermatids, elongated spermatids, immature sperm, and mature sperm. Among them, 118 images were assigned as the training set and 29 images as the validation set. RetinaNet (Lin et al. in IEEE Trans Pattern Anal Mach Intell. 42:318-327, 2020), a one-stage detection framework, was adopted for cell detection. The performance was evaluated at the cell level with average precision (AP) and recall, and the precision-recall (PR) curve was displayed among an independent testing set that contains 29 images that aim to assess the model. RESULTS: The training set consisted of 4772 annotated cells, including 1782 Sertoli cells, 314 primary spermatocytes, 443 round spermatids, 279 elongated spermatids, 504 immature sperm, and 1450 mature sperm. This study demonstrated the performance of each category and the overall AP and recall on the validation set, which were 80.47% and 96.69%. The overall AP and recall were 79.48% and 93.63% on the testing set, while increased to 85.29% and 93.80% once the post-meiotic cells were merged into one category. CONCLUSIONS: This study proposed an innovative approach that leveraged ML methods to facilitate the diagnosis of spermatogenesis at mTESE for patients with NOA. With the assistance of ML techniques, surgeons could determine the stages of spermatogenesis and provide timely histopathological diagnosis for infertile males.

The solute carrier transporters (SLCs) family in nutrient metabolism and ferroptosis.

Ferroptosis is a novel form of programmed cell death caused by damage to lipid membranes due to the accumulation of lipid peroxides in response to various stimuli, such as high levels of iron, oxidative stress, metabolic disturbance, etc. Sugar, lipid, amino acid, and iron metabolism are crucial in regulating ferroptosis. The solute carrier transporters (SLCs) family, known as the "metabolic gating" of cells, is responsible for transporting intracellular nutrients and metabolites. Recent studies have highlighted the significant role of SLCs family members in ferroptosis by controlling the transport of various nutrients. Here, we summarized the function and mechanism of SLCs in ferroptosis regulated by ion, metabolic control of nutrients, and multiple signaling pathways, with a focus on SLC-related transporters that primarily transport five significant components: glucose, amino acid, lipid, trace metal ion, and other ion. Furthermore, the potential clinical applications of targeting SLCs with ferroptosis inducers for various diseases, including tumors, are discussed. Overall, this paper delves into the novel roles of the SLCs family in ferroptosis, aiming to enhance our understanding of the regulatory mechanisms of ferroptosis and identify new therapeutic targets for clinical applications.

Brain-tumor-seeking and serpin-inhibiting outer membrane vesicles restore plasmin-mediated attacks against brain metastases.

Many chemotherapeutic and molecular targeted drugs have been used to treat brain metastases, e.g., anti-angiogenic vandetanib. However, the blood-brain barrier and brain-specific resistance mechanisms make these systemic therapeutic approaches inefficacious. Brain metastatic cancer cells could mimic neurons to upregulate multiple serpins and secrete them into the extracellular environment to reduce local plasmin production to promote L1CAM-mediated vessel co-option and resist anti-angiogenesis therapy. Here, we developed brain-tumor-seeking and serpin-inhibiting outer membrane vesicles (DE@OMVs) to traverse across the blood-brain barrier, bypass neurons, and specially enter metastatic cancer cells via targeting GRP94 and vimentin. Through specific delivery of dexamethasone and embelin, reduced serpin secretion, restored plasmin production, significant L1CAM inactivation and tumor cell apoptosis were specially found in intracranial metastatic regions, leading to delayed tumor growth and prolonged survival in mice with brain metastases. By combining the brain-tumor-seeking properties with the regulation of the serpin/plasminogen activator/plasmin/L1CAM axis, this study provides a potent and highly-selective systemic therapeutic option for brain metastases.

Dipole field as charge-transfer bridge between Cu atomic clusters/PtCu alloy nanocubes and nitrogen-rich C3N5 for superior photocatalytic hydrogen evolution.

Utilizing spontaneous polarization field to harness charge transfer kinetics is a promising strategy to boost photocatalytic performance. Herein, a novel Cu atom clusters/PtCu alloy nanocubes coloaded on nitrogen-rich triazole-based C3N5 (PtCu-C3N5) with dipole field was constructed through facile photo-deposition and impregnation method. The dipole field-drive spontaneous polarization in C3N5 acts as a charge-transfer bridge to promote directional electron migration from C3N5 to Cu atom clusters/PtCu alloy. Through the synergistic effects between Cu atom clusters, PtCu alloy and dipole field in C3N5, the optimized Pt2Cu3-C3N5 achieved a record-high performance with H2 formation rate of 4090.4 µmol g-1 h-1 under visible light, about 154.4-fold increase compared with pristine C3N5 (26.5 µmol g-1 h-1). Moreover, the apparent quantum efficiency was up to 25.33 % at 320 nm, which is greatly superior than most previous related-works. The directional charge transfer mechanism was analyzed in detail through various characterizations and DFT calculations. This work offers a novel pathway to construct high-efficiency multi-metal photocatalysts for solar energy conversion.

Joint metabolomic and transcriptomic analysis identify unique phenolic acid and flavonoid compounds associated with resistance to fusarium wilt in cucumber (Cucumis sativus L.).

Introduction: Fusarium wilt (FW) caused by Fusarium oxysporum f. sp. cucumerinum (Foc) is a destructive soil-borne disease in cucumber (Cucumis sativus. L). However, there remains limited knowledge on the molecular mechanisms underlying FW resistance-mediated defense responses in cucumber. Methods: In this study, metabolome and transcriptome profiling were carried out for two FW resistant (NR) and susceptible (NS), near isogenic lines (NILs) before and after Foc inoculation. NILs have shown consistent and stable resistance in multiple resistance tests conducted in the greenhouse and in the laboratory. A widely targeted metabolomic analysis identified differentially accumulated metabolites (DAMs) with significantly greater NR accumulation in response to Foc infection, including many phenolic acid and flavonoid compounds from the flavonoid biosynthesis pathway. Results: Transcriptome analysis identified differentially expressed genes (DEGs) between the NILs upon Foc inoculation including genes for secondary metabolite biosynthesis and transcription factor genes regulating the flavonoid biosynthesis pathway. Joint analysis of the metabolomic and transcriptomic data identified DAMs and DEGs closely associated with the biosynthesis of phenolic acid and flavonoid DAMs. The association of these compounds with NR-conferred FW resistance was exemplified by in vivo assays. These assays found two phenolic acid compounds, bis (2-ethylhexyl) phthalate and diisooctyl phthalate, as well as the flavonoid compound gallocatechin 3-O-gallate to have significant inhibitory effects on Foc growth. The antifungal effects of these three compounds represent a novel finding. Discussion: Therefore, phenolic acids and flavonoids play important roles in NR mediated FW resistance breeding in cucumber.

A new isocoumarin derivative from endophytic fungus Pezicula neosporulosa VDB39 from Vaccinium dunalianum.

Four isocoumarin derivatives (1-4) and five phenols (5-9) were obtained from the endophytic fungus Pezicula neosporulosa VDB39, which was isolated from the branches of Vaccinium dunalianum Wight (Ericaceae). Compound 1 is a new derivative of isocoumarin. The structures were elucidated by spectroscopic methods. Single X-ray crystallography confirmed the absolute configuration of compound 1. Additionally, the antiphytopathogenic fungi activity of isocoumarin derivatives (1-4) was evaluated.

Electrostatic microfiltration (EM) enriches and recovers viable microorganisms at low-abundance in large-volume samples and enhances downstream detection.

Rapid and sensitive detection of pathogens in various samples is crucial for disease diagnosis, environmental surveillance, as well as food and water safety monitoring. However, the low abundance of pathogens (<10 CFU) in large volume (1 mL-1 L) samples containing vast backgrounds critically limits the sensitivity of even the most advanced techniques, such as digital PCR. Therefore, there is a critical need for sample preparation that can enrich low-abundance pathogens from complex and large-volume samples. This study develops an efficient electrostatic microfiltration (EM)-based sample preparation technique capable of processing ultra-large-volume (≥500 mL) samples at high throughput (≥10 mL min-1). This approach achieves a significant enrichment (>8000×) of extremely-low-abundance pathogens (down to level of 0.02 CFU mL-1, i.e., 10 CFU in 500 mL). Furthermore, EM-enabled sample preparation facilitates digital amplification techniques sensitively detecting broad pathogens, including bacteria, fungi, and viruses from various samples, in a rapid (≤3 h) sample-to-result workflow. Notably, the operational ease, portability, and compatibility/integrability with various downstream detection platforms highlight its great potential for widespread applications across diverse settings.

Hounsfield units in assessing bone mineral density in ankylosing spondylitis patients with cervical fracture-dislocation.

BACKGROUND: Cervical spine fracture-dislocations in patients with ankylosing spondylitis (AS) are mostly unstable and require surgery. However, osteoporosis, one of the comorbidities for AS, could lead to detrimental prognoses. There are few accurate assessments of bone mineral density in AS patients. AIM: To analyze Hounsfield units (HUs) for assessing bone mineral density in AS patients with cervical fracture-dislocation. METHODS: The HUs from C2 to C7 of 51 patients obtained from computed tomography (CT) scans and three-dimensional reconstruction of the cervical spine were independently assessed by two trained spinal surgeons and statistically analyzed. Inter-reader reliability and agreement were assessed by interclass correlation coefficient. RESULTS: The HUs decreased gradually from C2 to C7. The mean values of the left and right levels were significantly higher than those in the middle. Among the 51 patients, 25 patients (49.02%) may be diagnosed with osteoporosis, and 16 patients (31.37%) may be diagnosed with osteopenia. CONCLUSION: The HUs obtained by cervical spine CT are feasible for assessing bone mineral density with excellent agreement in AS patients with cervical fracture-dislocation.

Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot.

The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic devices with proprioceptive feedback. Here, we report an artificial organic afferent nerve with low operating bias (-0.6 V) achieved by integrating a pressure-activated organic electrochemical synaptic transistor and artificial mechanoreceptors. The dendritic integration function for neurorobotics is achieved to perceive directional movement of object, further reducing the control complexity by exploiting the distributed and parallel networks. An intelligent robot assembled with artificial afferent nerve, coupled with a closed-loop feedback program is demonstrated to rapidly implement slip recognition and prevention actions upon occurrence of object slippage. The spatiotemporal features of tactile patterns are well differentiated with a high recognition accuracy after processing spike-encoded signals with deep learning model. This work represents a breakthrough in mimicking synaptic behaviors, which is essential for next-generation intelligent neurorobotics and low-power biomimetic electronics.

Bacteria-Like Gaiella Accelerate Soil Carbon Loss by Decomposing Organic Matter of Grazing Soils in Alpine Meadows on the Qinghai-Tibet Plateau.

The alpine meadows of the Qinghai-Tibet Plateau have significant potential for storing soil carbon, which is important to global carbon sequestration. Grazing is a major threat to its potential for carbon sequestration. However, grazing poses a major threat to this potential by speeding up the breakdown of organic matter in the soil and releasing carbon, which may further lead to positive carbon-climate change feedback and threaten ecological security. Therefore, in order to accurately explore the driving mechanism and regulatory factors of soil organic matter decomposition in grazing alpine meadows on the Qinghai-Tibet Plateau, we took the grazing sample plots of typical alpine meadows as the research object and set up grazing intensities of different life cycles, aiming to explore the relationship and main regulatory factors of grazing on soil organic matter decomposition and soil microorganisms. The results show the following: (1) soil microorganisms, especially Acidobacteria and Acidobacteria, drove the decomposition of organic matter in the soil, thereby accelerating the release of soil carbon, which was not conducive to soil carbon sequestration in grassland; (2) the grazing triggering effect formed a positive feedback with soil microbial carbon release, accelerating the decomposition of organic matter and soil carbon loss; and (3) the grazing ban and light grazing were more conducive to slowing down soil organic matter decomposition and increasing soil carbon sequestration.

Multi-Scale Depthwise Separable Capsule Network for hyperspectral image classification.

Addressing the challenges in effectively extracting multi-scale features and preserving pose information during hyperspectral image (HSI) classification, a Multi-Scale Depthwise Separable Capsule Network (MDSC-Net) is proposed in this article for HSI classification. Initially, hierarchical features are extracted by MDSC-Net through the employment of parallel multi-scale convolutional kernels, while computational complexity is reduced via depthwise separable convolutions, thus reducing the overall computational load and achieving efficient feature extraction. Subsequently, to enhance the translational invariance of features and reduce the loss of pose information, features of various scales are processed in parallel by independent capsule networks, with improvements in max pooling achieved through dynamic routing. Lastly, features of different scales are concatenated and integrated through the concatenate operation, thereby facilitating precise analysis of multi-level information in the hyperspectral image classification process. Experimental comparisons demonstrate that MDSC-Net achieves average accuracies of 94%, 98%, and 99% on the Kennedy Space Center, University of Pavia, and Salinas datasets, respectively, indicating a significant performance advantage over recent HSI classification models and validating the effectiveness of the proposed model.

Risk Factors Related to Postoperative Dizziness Among Patients Who Underwent General Anesthesia and Intraoperative Analgesics: A Prospective Cohort Study.

PURPOSE: To describe postoperative dizziness for patients who received analgesics during general anesthesia and to investigate the factors related to the trend of dizziness within 3 days after surgery. DESIGN: A prospective cohort study. METHODS: This is a longitudinal study. The severity of dizziness was assessed from the day of the surgery until the third day post surgery. Generalized estimation equation models were created to determine the predictive effect of each independent variable separately. FINDINGS: After surgery, the incidence of dizziness was 42.1%. Approximately 10% of participants experienced severe dizziness. Participants with postoperative nausea and vomiting were more likely to experience postoperative dizziness. In addition, age, education level, history of motion sickness, surgical specialties, laparoscopic surgery, and long-acting analgesic use had an impact on the trend of postoperative dizziness. More than 25% of participants who used long-acting analgesics experienced dizziness on the third postoperative day. CONCLUSIONS: Postoperative dizziness was common among participants who received analgesics during general anesthesia. Monitoring for postoperative dizziness may need to be prolonged, especially in patients taking long-acting analgesics. For patients at high risk for postoperative dizziness, preventive measures such as adjusting analgesic and anesthetic medications may be necessary.

Electroacupuncture activates AMPKα1 to improve learning and memory in the APP/PS1 mouse model of early Alzheimer's disease by regulating hippocampal mitochondrial dynamics.

OBJECTIVE: Studies have shown that electroacupuncture (EA) can alleviate cognitive impairments from Alzheimer's disease (AD) by regulating the expression of adenosine monophosphate-activated protein kinase (AMPK), but the specific mechanism involved remains to be elucidated. Therefore, this study explores the potential mechanism by which EA improves cognitive function from the perspective of mitochondrial dynamics. METHODS: The four-month-old transgenic mice with amyloid precursor protein (APP)/presenilin 1 (PS1) and AMPKα1-subunit conditional knockout (AMPKα1-cKO) were used for experiments. To evaluate the effects of EA treatment on cognitive function, the T-maze and Morris water maze were used. In addition, chemical exchange saturation transfer, thioflavin staining, transmission electron microscopy, mitochondrial membrane potential, and Western blotting were used to examine the potential mechanisms underlying the effects of EA on APP/PS1 mice. RESULTS: Both APP/PS1 mice and AMPKα1-cKO mice exhibited dysfunction in mitochondrial dynamics accompanied by learning and memory impairment. Inactivation of the AMPK/peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) pathway increased pathological amyloid-ß (Aß) deposition and aggravated the dysfunction in mitochondrial dynamics. In addition, EA rescued learning and memory deficits in APP/PS1 mice by activating the AMPK/PGC-1α pathway, specifically by reducing pathological Aß deposition, normalizing energy metabolism, protecting the structure and function of mitochondria, increasing the levels of mitochondrial fusion proteins, and downregulating the expression of fission proteins. However, the therapeutic effect of EA on cognition in APP/PS1 mice was hindered by AMPKα1 knockout. CONCLUSION: The regulation of hippocampal mitochondrial dynamics and reduction in Aß deposition via the AMPK/PGC-1α pathway are critical for the ability of EA to ameliorate cognitive impairment in APP/PS1 mice. Please cite this article as: Jia WW, Lin HW, Yang MG, Dai YL, Ding YY, Xu WS, Wang SN, Cao YJ, Liang SX, Wang ZF, Chen C, Liu WL. Electroacupuncture activates AMPKα1 to improve learning and memory in the APP/PS1 mouse model of early Alzheimer's disease by regulating hippocampal mitochondrial dynamics. J Integr Med. 2024; Epub ahead of print.

Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research.

BACKGROUND: Our study delves into postpartum depression (PPD) extending observation up to six months postpartum, addressing the gap in long-term follow-ups and uncover critical intervention points. METHOD: Through a continuous three-wave cohort study involving 3174 of 10,730 invited postpartum women, we utilized machine learning to predict PPD risk, incorporating self-reported surveys and health records from October 2021 to Jan 2023. RESULTS: PPD prevalence slightly decreased from 30.9 % to 29.1 % over six months. The Random Forest model emerged as the most effective, identifying key predictors of PPD at different stages. The top three factors at first month were newborn's birth weight, maternal weight before delivery and before pregnancy. The EPDS scores of last time, newborn's birth weight and maternal weight before pregnancy and before delivery were main predictors for EPDS scores at third and sixth months postpartum. LIMITATION: The study faces limitations such as potential selection bias due to the convenience sampling method and the reliance on self-reported measures, which may introduce reporting bias. Furthermore, the high attrition rate could affect the representativeness of the sample and the generalizability of the findings. CONCLUSION: There is a slight decrease in PPD rates over six months, yet the prevalence remains high. This underscores the need for early and ongoing mental health support for new mothers. Our study highlights the efficacy of machine learning in enhancing PPD risk assessment and tailoring intervention strategies, paving the way for more personalized healthcare approaches in postpartum care.

Healthcare Outcomes of Patients and Antecedents via Teleophthalmology in Eastern Taiwan during COVID-19.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic has caused significant transformations in healthcare. Many countries began the rapid development and adoption of telemedicine to avoid the spread of the pandemic and created an innovative model for healthcare delivery. This study identified the critical antecedents that affected the considered healthcare outcomes via teleophthalmology in Eastern Taiwan during the COVID-19 pandemic. METHODS: This study's participants included residents of five towns in Taitung County who had experience with teleophthalmology. This study analyzed the structured questionnaires completed by the participants to validate the proposed research framework. Statistical methods were used to verify the research models, including descriptive statistical analysis, confirmatory factor analysis, and structural equation modeling. The date of this study was from 1 October 2020 to 31 July 2023. RESULTS: The results of this study reveal that the average monthly use of teleophthalmology by individuals in rural areas increased annually. Females tended to utilize teleophthalmology services more than males. There were no significant differences across any of the constructs with respect to age or educational level. Additionally, the patients' awareness of healthcare accessibility via and the communication quality of teleophthalmology simultaneously affected teleophthalmology's adoption and service quality, which in turn jointly affected health outcomes. Both healthcare accessibility and communication quality were the antecedents of the healthcare outcomes. The health outcomes refer to the impact of teleophthalmology on the quality of the patients' health and well-being. Additionally, teleophthalmology's adoption and service quality acted as mediators. CONCLUSIONS: This study's findings are expected to increase attention to the healthcare outcomes and antecedents of teleophthalmology to promote better telemedicine practices and services for rural residents.

Impact of slit compared with nonslit mesh in laparoscopic groin hernia repairs-A comprehensive propensity score analysis of a cohort of 611 hernias.

BACKGROUND: The slit-mesh technique for laparoscopic groin hernia repair remains controversial. We present the largest cohort of patients to date that have undergone laparoscopic hernia repair with this technique and aim to evaluate the impact of both techniques on postoperative recurrence and other secondary outcomes. METHODS: A retrospective, single-institution cohort study of patients who underwent a laparoscopic groin hernia repair over a 5.5-year period was performed. Univariate and multivariate analyses were performed to identify factors associated with recurrence, chronic pain, complications, length of stay, and operative time. A propensity score analysis also was performed. Time to recurrence was then subsequently plotted on a Kaplan-Meier survival analysis. RESULTS: In total, 611 laparoscopic groin hernia repairs (nonslit: n = 353; slit: n = 258) were reviewed. Mean follow-up duration was 6.6 months. On the multivariate analysis, body mass index was inversely correlated with recurrence (odds ratio, 0.792; 95% confidence interval, 0.656-0.956), whereas a slit mesh had lower recurrence (odds ratio, 0.228; 95% confidence interval, 0.064-0.809). In the propensity score-adjusted analysis, slit mesh remained significantly associated with reduced recurrence (adjusted odds ratio, 0.251; 95% confidence interval, 0.070-0.900), with no differences in chronic pain (adjusted odds ratio, 1.297; 95% confidence interval, 0.275-6.128) or postoperative complications (adjusted odds ratio, 1.808; 95% confidence interval, 0.429-7.620). Operative time also was reduced in the slit-mesh group (P = .009). CONCLUSIONS: The slit-mesh technique was associated with a reduced likelihood of postoperative recurrence and shorter operative time, with no impact on postoperative chronic pain or complications. A lower body mass index was also correlated with increased likelihood of postoperative recurrence.

Exploring the Effectiveness and Challenges of Community Rehabilitation Service Programs for Children with Developmental Delays: A Qualitative Study from the Perspective of Early Intervention Service Providers in Taiwan.

This qualitative study aimed to investigate the effectiveness of community rehabilitation programs for children with developmental delays from the perspective of early intervention service providers in Taiwan. Adopting a single-case experimental design (ABM design), this study examined the immediate and sustained effects of interventions on individualized goals during baseline, intervention, and maintenance phases. Additionally, data from interviews with parents, special education teachers, and other participants were collected to understand the challenges and improvement strategies of community rehabilitation programs. Results revealed that community rehabilitation programs for children with developmental delays exhibited both immediate and sustained effectiveness. Challenges faced by parents and professionals differed, with parents having less contact and communication with administrative systems, while professionals experienced more pronounced implementation difficulties during interventions. Moreover, strategies for improving community rehabilitation programs for children with developmental delays should vary for parents and professionals to address inconsistencies in attitudes and strategies among parents and administrative obstacles encountered by professionals.

Brief Report: Under-Identification of Symptomatic Menopause in Publicly-Insured Autistic People.

Menopause is a normal part of aging and in the general population is associated with chronic conditions that impact health, mortality, and well-being. Menopause is experienced differently by autistic individuals, although no studies have investigated this topic in a large sample. The purpose of this study was to investigate rates of, and factors associated with symptomatic menopause among autistic individuals and to identify the prevalence of co-occurring conditions in symptomatic individuals. We included autistic females aged 35-70 years enrolled for 10 + months in 2014-2016 Medicare and/or Medicaid (n = 26,904), excluding those with gender dysphoria. Those with symptomatic menopause were compared to a non-symptomatic reference group on demographic, enrollment characteristics, and co-occurring conditions through logistic regression. Approximately 4% of publicly-insured autistic females aged 46-70 years had symptomatic menopause in their medical records. Intellectual disability was associated with a lower likelihood of symptomatic menopause, and being Medicare-enrolled or dual-enrolled was associated with higher likelihood of having symptomatic menopause recorded. In adjusted models, rates of ADHD, anxiety and depressive disorders, headache/migraine, altered sensory experiences, altered sexual function, and sleep disturbance were significantly higher in the symptomatic menopause sample compared to the reference group. More work to better support autistic women in discussing menopausal symptoms and co-occurring conditions with primary care providers is needed, particularly among those for whom self-report of symptoms are more challenging to ascertain. Factors associated with specific types of health care coverage warrant greater investigation to support better identification.

Association between prosthesis contour and peri-implantitis in patients compliant with supportive periodontal therapy: A retrospective cohort study.

PURPOSE: Poor contour of the implant restoration causes plaque accumulation and increases the risk of peri-implantitis. This study aimed to investigate whether the prosthodontic components of dental implants were associated with the prevalence of peri-implantitis. METHODS: We enrolled 185 patients with 348 implants who underwent at least 1-year follow-up after the delivery of the prosthesis from February 2010 to January 2021. Demographic data of the patients and implants and the follow-up period were recorded. The emergence angle, type of cervical crown contour, and contour angle were analyzed using annual bite-wing radiographs. Peri-implantitis in this study was diagnosed if the peri-implant bone loss was greater than 2 mm between the bite-wing radiographs taken at baseline and the latest. Chi-square test, two-sample t-test, and multivariate logistic regression were used to investigate the differences and odds ratios between the peri-implantitis and non-peri-implantitis groups. RESULTS: The incidence of peri-implantitis was 14.9% during a follow-up period of 1509 days after the delivery of the prosthesis for at least 1-year. Based on the prevalence of non-peri-implantitis and after adjusting for confounding factors, the risk factors identified were bone types for implants (native bone vs. alveolar ridge preservation: adjusted odds ratio = 2.43, P = 0.04). Sex, arch, and guided bone regeneration vs. alveolar ridge preservation have the potential for a statistical difference. CONCLUSIONS: Compared with implants at alveolar ridge preservation sites, implants in the native bone were more prone to peri-implantitis. Further randomized controlled trials are required to determine these associations.