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BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by intricate genetic and environmental etiology. The objective of this study was to identify robust non-genetic risk factors for AD through an updated umbrella review. METHODS: We conducted a comprehensive search of meta-analyses and systematic reviews on non-genetic risk factors associated with AD in PubMed, Cochrane, Embase, and Ovid Medline up to June 30, 2023. After collecting data, we estimated the summary effect size and their 95% confidence intervals. The degree of heterogeneity between studies was assessed using I2 statistics and a 95% prediction interval was determined. Additionally, we evaluated potential excess significant bias and small study effects within the selected candidate studies. RESULTS: The umbrella review encompassed a total of 53 eligible papers, which included 84 meta-analyses covering various factors such as lifestyle, diet, environmental exposures, comorbidity or infections, drugs, and biomarkers. Based on the evidence classification criteria employed in this study, two factors as convincing evidence (Class I), including rheumatoid arthritis (RA), potentially reduced the risk of AD, but diabetes significantly increased the risk of AD. Furthermore, three factors as highly suggestive evidence (Class II), namely depression, high homocysteine, and low folic acid level, potentially increased the risk of AD. CONCLUSION: Our findings highlight several risk factors associated with AD that warrant consideration as potential targets for intervention. However, it is crucial to prioritize the identified modifiable risk factors, namely rheumatoid arthritis, diabetes, depression, elevated homocysteine levels, and low folic acid levels to effectively address this complex neurodegenerative disorder.
Subject(s)
Alzheimer Disease , Alzheimer Disease/genetics , Alzheimer Disease/epidemiology , Humans , Risk Factors , Arthritis, Rheumatoid/genetics , Biomarkers/blood , Life StyleABSTRACT
Immunoglobulin G (IgG) and immunoglobulin M (IgM) testing are commonly used to determine infection status. Typically, the detection of IgM indicates an acute or recent infection, while the presence of IgG alone suggests a chronic or past infection. However, relying solely on IgG and IgM antibody positivity may not be sufficient to differentiate acute from chronic infections. This limitation arises from several factors. The prolonged presence of IgM can complicate diagnostic interpretations, and false positive IgM results often arise from antibody cross-reactivity with various antigens. Additionally, IgM may remain undetectable in prematurely collected samples or in individuals who are immunocompromised, further complicating accurate diagnosis. As a result, additional diagnostic tools are required to confirm infection status. Avidity is a measure of the strength of the binding between an antigen and antibody. Avidity-based assays have been developed for various infectious agents, including toxoplasma, cytomegalovirus (CMV), SARS-CoV-2, and avian influenza, and are promising tools in clinical diagnostics. By measuring the strength of antibody binding, they offer critical insights into the maturity of the immune response. These assays are instrumental in distinguishing between acute and chronic or past infections, monitoring disease progression, and guiding treatment decisions. The development of automated platforms has optimized the testing process by enhancing efficiency and minimizing the risk of manual errors. Additionally, the recent advent of real-time biosensor immunoassays, including the label-free immunoassays (LFIA), has further amplified the capabilities of these assays. These advances have expanded the clinical applications of avidity-based assays, making them useful tools for the diagnosis and management of various infectious diseases. This review is structured around several key aspects of IgG avidity in clinical diagnosis, including: (i) a detailed exposition of the IgG affinity maturation process; (ii) a thorough discussion of the IgG avidity assays, including the recently emerged biosensor-based approaches; and (iii) an examination of the applications of IgG avidity in clinical diagnosis. This review is intended to contribute toward the development of enhanced diagnostic tools through critical assessment of the present landscape of avidity-based testing, which allows us to identify the existing knowledge gaps and highlight areas for future investigation.
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Objectives: To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions. Methods: Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set (n=284) and a validation set (n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training (n=243), validation (n=105), and test (n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results: We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression (Pï¼0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions: Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.
Subject(s)
Cell-Free Nucleic Acids , Esophageal Neoplasms , Esophageal Squamous Cell Carcinoma , Precancerous Conditions , Humans , Esophageal Squamous Cell Carcinoma/genetics , Esophageal Squamous Cell Carcinoma/blood , Esophageal Squamous Cell Carcinoma/diagnosis , Esophageal Neoplasms/genetics , Esophageal Neoplasms/blood , Esophageal Neoplasms/diagnosis , Precancerous Conditions/blood , Precancerous Conditions/diagnosis , Precancerous Conditions/genetics , Cell-Free Nucleic Acids/blood , Early Detection of Cancer/methods , Biomarkers, Tumor/blood , Male , Female , Carcinoma in Situ/blood , Carcinoma in Situ/diagnosis , Carcinoma in Situ/genetics , Carcinoma in Situ/pathologyABSTRACT
Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are under intense examination as well. In this Letter, a velocity components analysis (VCA) method dedicated to swift analysis of accelerated DM-electron interactions via semiconductor detectors is proposed and the first HPGe detector-based accelerated DM-electron analysis is realized. Utilizing the method, the first germanium based constraint on sub-GeV solar reflected DM-electron interaction is presented with the 205.4 kg·day dataset from the CDEX-10 experiment. In the heavy mediator scenario, our result excels in the mass range of 5-15 keV/c^{2}, achieving a 3 orders of magnitude improvement comparing with previous semiconductor experiments. In the light mediator scenario, the strongest laboratory constraint for DM lighter than 0.1 MeV/c^{2} is presented. The result proves the feasibility and demonstrates the vast potential of the VCA technique in future accelerated DM-electron analyses with semiconductor detectors.
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Objective: To investigate the endoscopic combined serological diagnosis strategy for G1 and G2 gastric neuroendocrine neoplasms (G-NENs), and to evaluate the safety, short-term, and long-term efficacy of two endoscopic treatment procedures: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD). Methods: This study retrospectively analyzed the clinical data of 100 consecutive patients with G-NENs who were hospitalized at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2011 to October 2023. These patients underwent endoscopic treatment, and propensity score matching (PSM) was used to compare clinicopathological characteristics, as well as short-term and long-term efficacy of lesions in the EMR group and ESD group before and after treatment. Results: Among the 100 patients with G-NENs, the median age was 54 years old. Before surgery, 29 cases underwent endoscopic combined serological examination, and 24 of them (82.2%) had abnormally elevated plasma chromogranin A. The combined diagnostic strategy for autoimmune atrophic gastritis (AIG) achieved a diagnostic accuracy of 100%(22/22). A total of 235 G-NEN lesions were included, with 84 in the ESD group and 151 in the EMR group. The median size of the lesions in the ESD group (5.0 mm) was significantly larger than that in the EMR group (2.0 mm, Pï¼0.001). Additionally, the ESD group had significantly more lesions with pathological grade G2[23.8%(20/84) vs. 1.3%(2/151), Pï¼0.001], infiltration depth reaching the submucosal layer [78.6%(66/84) vs. 51.0%(77/151), Pï¼0.001], and more T2 stage compared to the EMR group[15.5%(13/84) vs. 0.7%(1/151), Pï¼0.001]. After PSM, 49 pairs of lesions were successfully matched between the two groups. Following PSM, there were no significant differences in the en bloc resection rate [100.0%(49/49) vs. 100.0%(49/49)], complete resection rate [93.9%(46/49) vs. 100.0%(49/49)], and complication rate [0(0/49) vs. 4.1%(2/49)] between the two groups. During the follow-up period, no recurrence or distant metastasis was observed in any of the lesions in both groups. Conclusions: The combination of endoscopy and serology diagnostic strategy has the potential to enhance the accuracy of diagnosing G1 and G2 stage G-NENs and their background mucosa. Endoscopic resection surgery (EMR, ESD) is a proven and safe treatment approach for G1 and G2 stage G-NENs.
Subject(s)
Chromogranin A , Endoscopic Mucosal Resection , Neuroendocrine Tumors , Stomach Neoplasms , Humans , Stomach Neoplasms/surgery , Stomach Neoplasms/diagnosis , Stomach Neoplasms/pathology , Stomach Neoplasms/blood , Retrospective Studies , Middle Aged , Endoscopic Mucosal Resection/methods , Neuroendocrine Tumors/surgery , Neuroendocrine Tumors/diagnosis , Neuroendocrine Tumors/blood , Chromogranin A/blood , Gastritis, Atrophic/diagnosis , Gastroscopy/methods , Propensity Score , Gastric Mucosa/surgery , Gastric Mucosa/pathology , Treatment Outcome , Male , Female , Gastrins/bloodABSTRACT
Objective: To validate the diagnostic performance of the Paris system for reporting urinary cytology (TPS). Methods: A total of 7 046 urine cytology samples from 3 402 patients collected in the Department of Pathology, Beijing Hospital, China from January 2020 to January 2022 were analyzed. 488 patients had a biopsy or resection specimen during the follow-up period of 6 months. The sensitivity, specificity, risk of malignancy (ROM) and risk of high-grade malignancy (ROHM) of the TPS were evaluated using histological diagnosis as the golden standard. Results: Among the 7 046 samples, high-grade urothelial carcinoma (HGUC) accounted for 5.7% (399/7 046), suspicious for high-grade urothelial carcinoma (SHGUC) for 3.2% (227/7 046), atypical urothelial cells (AUC) for 8.4% (593/7 046), and negative for high-grade urothelial carcinoma (NHGUC) for 72.9% (5 139/7 046) including low-grade urothelial neoplasm (LGUN) for 0.8% (59/7 046) and insufficient samples for 9.8% (688/7 046). 488 patients had a bladder biopsy or resection in the follow-up of six months, including 314 males and 174 females, aged 27 to 92 years (average, 66 years). The ROHM of TPS was 94.7% in HGUC, 83.3% in SHGUC, 41.3% in AUC and 18.8% in NHGUC. The sensitivity and specificity of urine cytology were 70.1% (169/241) and 97.0% (162/167), respectively. The negative predictive value of NHGUC was 69.2% (162/234). Conclusions: The study has shown that TPS classification has high sensitivity and specificity, high ROHM for HGUC and SHGUC, and high negative predictive value for NHGUC. The application of TPS reporting system can better interpret the clinical significance of cytology samples, improve the accuracy of urine cytopathology and ensure continuous diagnostic consistency.
Subject(s)
Urinary Bladder Neoplasms , Urine , Adult , Aged , Female , Humans , Male , Middle Aged , Biopsy , Cytodiagnosis/methods , Sensitivity and Specificity , Urinary Bladder Neoplasms/pathology , Urinary Bladder Neoplasms/urine , Urinary Bladder Neoplasms/diagnosis , Urine/cytology , Urothelium/pathologyABSTRACT
Artificial intelligence (AI) chatbots utilizing large language models (LLMs) have recently garnered significant interest due to their ability to generate humanlike responses to user inquiries in an interactive dialog format. While these models are being increasingly utilized to obtain medical information by patients, scientific and medical providers, and trainees to address biomedical questions, their performance may vary from field to field. The opportunities and risks these chatbots pose to the widespread understanding of skeletal health and science are unknown. Here we assess the performance of 3 high-profile LLM chatbots, Chat Generative Pre-Trained Transformer (ChatGPT) 4.0, BingAI, and Bard, to address 30 questions in 3 categories: basic and translational skeletal biology, clinical practitioner management of skeletal disorders, and patient queries to assess the accuracy and quality of the responses. Thirty questions in each of these categories were posed, and responses were independently graded for their degree of accuracy by four reviewers. While each of the chatbots was often able to provide relevant information about skeletal disorders, the quality and relevance of these responses varied widely, and ChatGPT 4.0 had the highest overall median score in each of the categories. Each of these chatbots displayed distinct limitations that included inconsistent, incomplete, or irrelevant responses, inappropriate utilization of lay sources in a professional context, a failure to take patient demographics or clinical context into account when providing recommendations, and an inability to consistently identify areas of uncertainty in the relevant literature. Careful consideration of both the opportunities and risks of current AI chatbots is needed to formulate guidelines for best practices for their use as source of information about skeletal health and biology.
Artificial intelligence chatbots are increasingly used as a source of information in health care and research settings due to their accessibility and ability to summarize complex topics using conversational language. However, it is still unclear whether they can provide accurate information for questions related to the medicine and biology of the skeleton. Here, we tested the performance of three prominent chatbotsChatGPT, Bard, and BingAIby tasking them with a series of prompts based on well-established skeletal biology concepts, realistic physicianpatient scenarios, and potential patient questions. Despite their similarities in function, differences in the accuracy of responses were observed across the three different chatbot services. While in some contexts, chatbots performed well, and in other cases, strong limitations were observed, including inconsistent consideration of clinical context and patient demographics, occasionally providing incorrect or out-of-date information, and citation of inappropriate sources. With careful consideration of their current weaknesses, artificial intelligence chatbots offer the potential to transform education on skeletal health and science.
Subject(s)
Artificial Intelligence , Bone and Bones , Humans , Bone and Bones/physiology , Bone Diseases/therapyABSTRACT
This study explores the effects and possible mechanisms of nuclear factor E2 related factor 2 (NRF2) on ovarian granulosa cells, providing a scientific basis to prevent premature ovarian failure. An ovarian cell injury model was constructed by treating human ovarian granulosa cell (KGN cell) with 4-Vinylcyclohexene dioxide (VCD). Firstly, KGN cells were treated with different concentrations of VCD, and cell counting kit 8 (CCK-8) was used to detect ovarian cell proliferation. After determining IC50 by CCK8, the levels of estradiol and progesterone in the cell supernatant were detected using enzyme-linked immunosorbent assay (ELISA), reactive oxygen species (ROS) assay kit was used to detect the content of ROS in ovarian cells, real-time fluorescence quantitative polymerase chain reaction (qRT PCR) was used to detect the mRNA expression level of NRF2, and Western blot was used to detect the protein expression level of NRF2. Further, NRF2 silence (siNRF2) and overexpression (NRF2-OE) cell models were constructed through lentivirus transfection, and the effects of regulating NRF2 on VCD treated cell models were investigated by detecting hormone levels, oxidative stress indicators (ROS, SOD, GSH-Px), and autophagy (LC3B level). The results showed that VCD intervention inhibited the proliferation of ovarian granulosa cells in a time-dependent and dose-dependent manner (F>100, P<0.05), with an IC50 of 1.2 mmol/L at 24 hours. After VCD treatment, the level of estradiol in the cell supernatant decreased from (56.32±10.18) ng/ml to (24.59±8.75) ng/ml (t=5.78, P<0.05). Progesterone decreased from (50.25±7.03) ng/ml to (25.13±6.67) ng/ml (t=6.54, P<0.05). After VCD treatment, the SOD of cells decreased from (44.47±7.71) ng/ml to (30.92±4.97) ng/ml (t=3.61, P<0.05). GSH-Px decreased from (68.51±10.17) ng/ml to (35.19±6.59) ng/ml (t=5.73, P<0.05). Simultaneously accompanied by an increase in autophagy and a decrease in NRF2. This study successfully constructed KGN cell models that silenced NRF2 and overexpressed NRF2. Subsequently, this study treated each group of cells with VCD and found that the cell proliferation activity of the siNRF2 group was significantly reduced (t=8.37, P<0.05), while NRF2-OE could reverse the cell activity damage caused by VCD (t=3.37, P<0.05). The siNRF2 group had the lowest level of estradiol (t=5.78, P<0.05), while NRF2-OE could reverse the decrease in cellular estradiol levels caused by VCD (t=5.58, P<0.05). The siNRF2 group had the lowest progesterone levels (t=3.02, P<0.05), while NRF2-OE could reverse the decrease in cellular progesterone levels caused by VCD (t=2.41, P<0.05). The ROS level in the siNRF2 group was the highest (t=2.86, P<0.05), NRF2-OE could reverse the increase in ROS caused by VCD (t=3.14, P<0.05), the SOD enzyme content in the siNRF2 group was the lowest (t=2.98, P<0.05), and NRF2-OE could reverse the decrease in SOD enzyme content caused by VCD (t=4.72, P<0.05). The GSH-Px enzyme content in the siNRF2 group was the lowest (t=3.67, P<0.05), and NRF2-OE could reverse the decrease in antioxidant enzyme content caused by VCD (t=2.71, P<0.05). The LC3B level was highest in the siNRF2 group (t=2.45, P<0.05), and NRF2-OE was able to reverse the LC3B elevation caused by VCD (t=9.64, P<0.05). In conclusion, NRF2 inhibits ROS induced autophagy, thereby playing a role in reducing ovarian granulosa cell damage, which may be a potential target for premature ovarian failure.
Subject(s)
NF-E2-Related Factor 2 , Primary Ovarian Insufficiency , Female , Humans , Autophagy , Estradiol/metabolism , Estradiol/pharmacology , Granulosa Cells/metabolism , NF-E2-Related Factor 2/genetics , NF-E2-Related Factor 2/metabolism , NF-E2-Related Factor 2/pharmacology , Oxidative Stress , Primary Ovarian Insufficiency/metabolism , Progesterone/metabolism , Progesterone/pharmacology , Reactive Oxygen Species/metabolism , Reactive Oxygen Species/pharmacology , Superoxide Dismutase/metabolism , Superoxide Dismutase/pharmacologyABSTRACT
Objective: To explore high-risk sexual behaviors of HIV/AIDS and related factors in young students in Guangzhou. Methods: A cross-sectional survey was conducted in 5 different types of Guangzhou colleges by convenience sampling with minimum number of classes per grade and 600 samples per school from September to November 2021. The R 4.2.2 software was used to consolidate databases. Simultaneously, a logistic regression model and a decision tree algorithm model, stratifying by whether sexual behaviors had occurred before, were constructed. In each layer, the prediction performance of the two models was evaluated through area under receiver operating characteristic and the confusion matrix, and then the model with high prediction performance was retained. Results: A total of 7 346 students were surveyed. The proportion of the respondents reporting sexual experience were 9.08% (667/7 346), in whom 26.24% (175/667) had risky sexual activity in the past year. The decision tree algorithm model performs well in predicting whether high-risk sexual behaviors have occurred in the past year. When the complexity parameter value is 0.018, and nsplit reaches 4, which means there are 5 leaf nodes in the model, the cross error of the tree will be the smallest. The first best grouping variable in the decision tree was whether to use condoms throughout the first sexual behavior. If condoms were used at their sexual debut, but homosexual practices have occurred in the past year, the probability of risky sexual behavior will increase. If homosexual practices have not occurred in the past year, but the age of sexual debut was below 18 years old while the period of HIV education was after high school, the probability of risk sexual behavior will also increase. Conclusions: AIDS-related risky behaviors of young students still deserved attention. The experience of sexual debut and whether AIDS-related health education has been received before the sexual debut were significant predictors for the occurrence of high-risk sexual behavior. The decision tree algorithm model has particular applicability for predicting and screening potential risk populations.
Subject(s)
Acquired Immunodeficiency Syndrome , HIV Infections , Humans , Adolescent , Acquired Immunodeficiency Syndrome/epidemiology , Acquired Immunodeficiency Syndrome/prevention & control , Cross-Sectional Studies , Sexual Behavior , HIV Infections/epidemiology , HIV Infections/prevention & control , Condoms , Risk Factors , Students , Risk-Taking , Health Knowledge, Attitudes, PracticeABSTRACT
Large language model (LLM) chatbots possess a remarkable capacity to synthesize complex information into concise, digestible summaries across a wide range of orthopedic subject matter. As LLM chatbots become widely available they will serve as a powerful, accessible resource that patients, clinicians, and researchers may reference to obtain information about orthopedic science and clinical management. Here, we examined the performance of three well-known and easily accessible chatbots-ChatGPT, Bard, and Bing AI-in responding to inquiries relating to clinical management and orthopedic concepts. Although all three chatbots were found to be capable of generating relevant responses, ChatGPT outperformed Bard and BingAI in each category due to its ability to provide accurate and complete responses to orthopedic queries. Despite their promising applications in clinical management, shortcomings observed included incomplete responses, lack of context, and outdated information. Nonetheless, the ability for these LLM chatbots to address these inquires has largely yet to be evaluated and will be critical for understanding the risks and opportunities of LLM chatbots in orthopedics.
Subject(s)
Orthopedics , Humans , Artificial IntelligenceABSTRACT
Objective: To compare the prevalence of frailty and related factors in middle-aged and elderly people aged ≥45 years in island and mountainous areas of Taizhou, Zhejiang Province. Methods: Based on cross-sectional design, stratified cluster sampling and quota sampling methods were adopted. One administrative district was randomly selected from each of six coastal and three inland administrative districts in Taizhou during July to August, representing two different geographical terrains. In the island area (Jiaojiang District), all residents aged ≥45 years were included by cluster sampling. In the mountainous area (Xianju County), participants were selected through quota sampling, with same gender and age distributions. Data about their demographic characteristics, lifestyle and health-related factors were collected through questionnaire surveys and laboratory examinations. The prevalence of frailty was assessed using the Fried frailty phenotype scale. Hierarchical analysis and multivariate logistic regression analysis were used to compare the influencing factors of frailty. Results: A total of 1 011 local residents were studied, in whom island and mountainous residents accounted for 48.1% (486/1 011) and 51.9% (525/1 011) respectively; men and women accounted for 45.9% (464/1 011) and 54.1% (547/1 011) respectively. Middle-aged (45-49 years), younger elderly (60-74 years), and older elderly (≥75 years) residents accounted for 38.6% (390/1 011), 44.6% (451/1 011), and 16.8% (170/1 011) respectively. The overall prevalence rate of frailty was 3.6% (36/1 011), the prevalence rate was 3.7% (17/464) in men and 3.5% (19/547) in women. The prevalence rates in age groups 45-59,60-74 years and ≥75 years were 0.3% (1/390), 2.2% (10/451), and 14.7% (25/170), respectively. The prevalence rates of frailty and pre-frailty in island area were 6.0% (29/486) and 39.1% (190/486), respectively, which was higher than those in mountainous area (1.3%, 7/525) and (30.9%, 162/525). After adjusting for potential confounding factors, the risk for frailty in island residents was significantly higher than that in mountainous residents (aOR=1.55,95%CI: 1.07-2.25,P=0.019). In island area, older age (60-74 years:aOR=2.52,95%CI: 1.56-4.13; ≥75 years:aOR=11.65,95%CI:5.38-26.70), being women (aOR=1.94,95%CI: 1.20-3.17), suffering from depression (aOR=1.09,95%CI:1.02-1.17) were associated with frailty symptoms. In mountainous area, older age was also associated with an increased risk of frailty symptoms, but the OR value was lower than those in island area (60-74 years: aOR=1.74,95%CI:1.04-2.94;≥75 years: aOR=4.78,95%CI:2.45-9.50). Polydrug use (aOR=2.08,95%CI: 1.14-3.80) and suffering from depression (aOR=1.10,95%CI: 1.02-1.18) had significant positive association with frailty symptoms. Higher education level had significant negative association with frailty symptoms (junior high school: aOR=0.40,95%CI: 0.21-0.75; senior high school and technical secondary school: aOR=0.29,95%CI: 0.15-0.53; college or above:aOR=0.22,95%CI: 0.11-0.42). Conclusions: The prevalence of frailty in middle-aged and elderly community residents was significantly higher in island area than in mountainous area in Taizhou. The frailty-related factors varied with area. The elderly people (≥75 years) and women in island area had higher risk for frailty. Older age and suffering from depression were the independent risk factors for frailty. It is necessary to pay attention to the health risk factors and special environment in island area, and take comprehensive intervention measures to delay the process of debilitation and improve the quality of life of middle-aged and elderly people.
Subject(s)
Frailty , Aged , Male , Middle Aged , Humans , Female , Frailty/epidemiology , Quality of Life , Prevalence , Cross-Sectional Studies , Risk Factors , Frail ElderlyABSTRACT
Objective: To explore the optimization of surgical procedures for laryngotracheal stenosis and its effect analysis. Methods: The data of 32 patients with acquired laryngotracheal stenosis who received surgical treatment from October 2015 to December 2021 were analyzed retrospectively. The age ranged from 19 to 72 years, with an average of (34.0±9.0) years. The medical history ranged from 1 to 32 months (median 3 months). As for etiology, there were 30 cases of iatrogenic laryngotracheal stenosis, including 20 cases of tracheal intubation and 10 cases of tracheotomy (7 cases of percutaneous tracheotomy and 3 cases of traditional tracheotomy). There were 1 case of laryngotracheal trauma and 1 case of airway Penicillium marneffei infection. According to Myer-Cotton grading system, grade â £ stenosis was found in 14 cases, including 12 cases involving trachea and 2 cases involving trachea and subglottic area.There were 18 cases of grade â ¢, all of which involved the cervical trachea 5 cases failed in operation in other hospitals. According to stenosis grading, course of disease, primary disease control and the patient's general condition, the surgical plan was determined individually. The operations of end-to-end anastomosis, circumferential tracheal partial resection, T-tube placement and CO2 laser tracheal scar resection were performed respectively. The recovery of airway function and perioperative complications were observed one year after operation. Results: End-to-end anastomosis was performed in 16 cases, and partial circumferential tracheal resection in 2 cases, and tracheal granulation (scar) resection by CO2 laser in 2 cases and T-tube insertion in 12 cases. Eighteen cases which performed end-to-end anastomosis, partial resection of circumferential trachea in and 2 cases which performed laser tracheal scar resection were all recovered airway function at one stage. After 1 year, 19 cases were cured and 1 case was effective. Of 12 patients with T tube implantation, 11 cases were successfully extubated after 6-12 months, 7 cases were cured after 1 year, 2 cases were effective and 3 cases were ineffective. Among the 3 cases of failure, 2 cases were successfully extubated by sleeve resection and end-to-end anastomosis in the second stage, and the other case refused to accept other treatment methods and the T-tube was placed again, and the tube was blocked and the patient survived. During the follow-up period, the total cure rate was 87.5%, the effective rate was 9.4%, and the total extubation rate was 96.9%.The most common complication was subcutaneous emphysema, accounting for 78% (25/32), but no serious mediastinal emphysema or pneumothorax occurred. In the T-tube implantation group, granulation tissue grew in different degrees around the neck wound after operation, and improved or disappeared after 6-9 months. Anterior cervical tracheal fistula occurred in 4 cases of T-tube implantation group after extubation, which were cured by sealing the stoma. There were no complications such as severe bleeding or perioperative death. Conclusion: When there were various factors, the optimization of the surgical plan according to the degree of stenosis, the course of disease, the control of primary disease and the general condition was an important guarantee to improve the curative effect of laryngotracheal stenosis.
Subject(s)
Carbon Dioxide , Cicatrix , Humans , Young Adult , Adult , Middle Aged , Aged , Constriction, Pathologic , Retrospective Studies , TracheaABSTRACT
Objective: To compare the efficacy of robotic-assisted single-incision-plus- one-port laparoscopic pyeloplasty (R-SILP+1) with single-incision laparoscopic pyeloplasty (SILP) in pediatric ureteropelvic junction obstruction (UPJO). Methods: The clinical data of 47 children with UPJO who underwent surgery from October 2020 to September 2022 in the Department of Pediatric Surgery of Fujian Provincial Hospital were retrospectively analyzed. According to the surgical method chosen by parents, the children were divided into R-SILP+1 group and SILP group. Baseline data, operative time, intraoperative anastomosis time, volume of blood loss, postoperative hospitalization time, complications, total costs, preoperative and postoperative renal parenchymal thickness (PT), anterior posterior diameter of renal pelvis (APD), and differential renal function (DRF) before and after operation were compared between the two groups, and the clinical efficacy of the two kinds of operation was evaluated. Results: Among the 47 children, 27 were in R-SILP+1 group, including 16 males and 11 females, aged (6.6±3.5) years; 20 were in SILP group, including 12 males and 8 females, aged (6.5±3.5) years. The operations were successful in both groups without conversion to open operation. There were no significant differences between the two groups in baseline data, volume of blood loss, complications, APD and PT at postoperative 6 months, APD, PT and DRF at postoperative 12 months (all P>0.05). Compared with the SILP group, the operative time [(153.0±14.4) vs (189.9±32.6) minutes, P<0.001], intraoperative anastomosis time [(68.8±16.8) vs (97.5±12.0) minutes, P<0.001], postoperative hospitalization time [(6.0±1.3) vs (9.0±1.3) d, P<0.001] were shorter, but the total cost was higher[(57 390±7 664) vs (30 183±4 219) yuan RMB, P<0.001]. Conclusions: Compared with the SILP group, R-SILP+1 can achieve considerable efficacy in treating pediatric UPJO, and has certain advantages in shortening operative time, intraoperative anastomosis time, and postoperative hospitalization time. However, the cost is high.
Subject(s)
Laparoscopy , Robotic Surgical Procedures , Surgical Wound , Ureteral Obstruction , Male , Female , Humans , Child , Robotic Surgical Procedures/methods , Retrospective Studies , Laparoscopy/methods , Urologic Surgical Procedures/methods , Ureteral Obstruction/surgery , Kidney Pelvis/surgery , Treatment Outcome , Surgical Wound/surgeryABSTRACT
Periodontal bone regeneration remains a clinical challenge, and hyperlipidemia can aggravate alveolar bone resorption. Probiotics have recently been reported to improve bone mass. We aimed to determine the role of Lacticaseibacillus rhamnosus GG (LGG) in periodontal bone regeneration improvement within the context of periodontitis with hyperlipidemia. A Sprague Dawley rat model for periodontitis, hyperlipidemia, and periodontal fenestration defect was constructed (n = 36) and administered LGG gavage for 6 wk (the rats were subsequently sacrificed). Fecal microbiota from donor rats 3 wk after LGG gavage was transplanted into recipient rats to evaluate the role of LGG-modulated gut microbiota in periodontal bone regeneration. Regenerated bone mass was detected using micro-computerized tomography and hematoxylin and eosin stain. Gut microbiota was analyzed using 16S ribosomal RNA sequencing. Serum metabolites were detected by liquid chromatography-mass spectrometry (6 wk after LGG gavage). The pro-osteogenic effects of screened serum metabolite were verified in vitro on bone marrow mesenchymal stem cells (BMMSCs). We found that the bone mineral density, bone volume (BV), trabecular bone volume fraction (BV/TV), and trabecular thickness of the regenerated periodontal bone increased after LGG gavage (P < 0.05) but had little effect on oral flora. After LGG gavage, Staphylococcus, Corynebacterium, and Collinsella in the gut of donors were significantly changed, and these differences were maintained in recipients, who also showed increased trabecular thickness of the regenerated periodontal bone (P < 0.05). These key genera were correlated with BV/TV and BV (P < 0.05). In addition, LGG gavage significantly regulated bone-related blood metabolites, of which selenomethionine promoted BMMSC osteogenesis. Notably, selenomethionine was associated with key gut genera (P < 0.05). Collectively, LGG improved periodontal bone regeneration in the context of periodontitis with hyperlipidemia by modulating gut microbiota and increasing pro-osteogenic metabolites in the blood. These results reveal new insights into the use of probiotics to promote periodontal bone regeneration via the gut-blood-bone axis.
Subject(s)
Alveolar Bone Loss , Hyperlipidemias , Lacticaseibacillus rhamnosus , Periodontitis , Probiotics , Rats , Animals , Hyperlipidemias/complications , Selenomethionine , Rats, Sprague-Dawley , Periodontitis/therapy , Probiotics/therapeutic useABSTRACT
1. Mycoplasma synoviae (MS) is the primary causative agent of synovitis in avian species. In order to investigate the pathogenicity and immunological responses associated with MS in specific pathogen-free chicken embryos, a series of generations (F1, F95, F120, F160 and F200) of MS were introduced into 7-day-old SPF chicken embryos and subsequent mortality rates were recorded and analysed2. Reverse transcription-quantitative polymerase chain reaction was performed to detect expression of heat shock proteins HSP27, HSP40, HSP60, HSP70 and HSP90 and inflammatory factors interleukin (IL)-1ß, caspase-1 and IL-18 in the tracheal tissue.3. The results showed that the mortality rate of SPF chicken embryos decreased with an increase in the number of passages, with the highest being 80% (8/10) for F1 generation and the lowest being 10% (1/10) for F200. The expression of HSP27, IL-1ß, HSP40, caspase-1, HSP70 and HSP90 showed a significant downregulation trend with an increase in the generation (except IL-18; P < 0.05). The HSP60 expression was significantly upregulated with increasing generations (P < 0.05).4. A relationship between pathogenicity and the number of passages was observed and the decrease in pathogenicity appeared to be associated with HSP and genes related to inflammatory factors. The present work offers a scientific foundation for screening potential MS strains that might be employed to develop attenuated vaccines.
Subject(s)
Chickens , Mycoplasma synoviae , Chick Embryo , Animals , Virulence , HSP27 Heat-Shock Proteins/genetics , Interleukin-18/genetics , Mycoplasma synoviae/genetics , HSP70 Heat-Shock Proteins , HSP90 Heat-Shock Proteins/genetics , Interleukin-1beta/genetics , CaspasesABSTRACT
Genetic engineering is commonly used to improve the agronomic traits of crops. However, genetic transformation in pumpkin remains a challenge. Conducting transformation trials, we accidentally created transgenic L1 periclinal chimeras in pumpkins. Using our modified Agrobacterium-mediated transformation, we generated transgenic L1 periclinal chimeras which have high value in research on development of the meristem. Fluorescence observations of transformed L1 cells enabled us to reveal cell fates. These L1 cells can develop into stomata, epidermal hairs, seed coat, and epidermis of the root, stem, leaf, flower, and fruit. These periclinal chimeras can be propagated vegetatively with minimal risk of transgene flow. This study offers new perspectives on development of the meristem and a promising technique for creating transgenic periclinal chimeras in plants.
Subject(s)
Cucurbita , Meristem , Meristem/genetics , Cucurbita/genetics , Plants/genetics , Phenotype , Flowers , Plants, Genetically Modified/geneticsABSTRACT
Objective: To compare clinical features and treatment outcomes of Mycobacterium abscessus (M.abscessus) and Mycobacterium massiliense (M.massiliense) pulmonary disease. Methods: A retrospective analysis was performed for 42 patients diagnosed with M.abscessus complex pulmonary disease for the first time in Guangzhou Chest Hospital from January to September 2021. The age of the 42 patients was 17-73 years, including 15 males and 27 females. According to the targeted next-generation sequencing, the patients were divided into M.abscessus group (28 patients, including 10 males and 18 females) and M. massiliense group (14 patients, including 5 males and 9 females). The clinical characteristics, radiological findings, drug sensitivity and clinical efficacy evaluation at 6 months of the two groups were compared. χ2 test and t-test were used for comparison between two groups. Results: The main symptoms in M. abscessus and M. massiliense groups were cough and sputum production. Radiological findings were significantly more frequent in the M. abscessus group than in the M. massiliense group, tree-in-bud sign [22/28 (78.5%) vs. 5/14], nodular bronchiectasis [27/28 (96.4%) vs. 11/14], and lesions involving more than three lung fields [23/28 (82.1%) vs. 7/14]. Both groups showed high levels of resistance to all antimicrobials. The sensitivity rate of the M. massiliense group to clarithromycin was higher than that of the M. abscessus[13/14 vs. 15/28 (53.5%)], and the success rate of treatment was significantly higher in patients with M. massiliense at the 6-month efficacy evaluation. Conclusions: The radiological findings, drug sensitivity and treatment outcomes differ between M. abscessus and M. massiliense pulmonary disease. Improving the identification of bacterial subspecies in clinical practice can effectively improve the diagnosis and treatment.
Subject(s)
Lung Diseases , Mycobacterium Infections, Nontuberculous , Mycobacterium abscessus , Male , Female , Humans , Adolescent , Young Adult , Adult , Middle Aged , Aged , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/therapeutic use , Mycobacterium Infections, Nontuberculous/diagnosis , Retrospective Studies , Clarithromycin/pharmacology , Lung Diseases/drug therapy , Microbial Sensitivity TestsABSTRACT
Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Subject(s)
Artificial Intelligence , Urologic Neoplasms , Humans , Urothelium/pathology , Cytodiagnosis , Epithelial Cells/pathology , Sensitivity and Specificity , Urologic Neoplasms/diagnosis , Urologic Neoplasms/pathology , Urologic Neoplasms/urineABSTRACT
Objective: While artificial intelligence (AI), particularly large language models (LLMs), offers significant potential for medicine, it raises critical concerns due to the possibility of generating factually incorrect information, leading to potential long-term risks and ethical issues. This review aims to provide a comprehensive overview of the faithfulness problem in existing research on AI in healthcare and medicine, with a focus on the analysis of the causes of unfaithful results, evaluation metrics, and mitigation methods. Materials and Methods: Using PRISMA methodology, we sourced 5,061 records from five databases (PubMed, Scopus, IEEE Xplore, ACM Digital Library, Google Scholar) published between January 2018 to March 2023. We removed duplicates and screened records based on exclusion criteria. Results: With 40 leaving articles, we conducted a systematic review of recent developments aimed at optimizing and evaluating factuality across a variety of generative medical AI approaches. These include knowledge-grounded LLMs, text-to-text generation, multimodality-to-text generation, and automatic medical fact-checking tasks. Discussion: Current research investigating the factuality problem in medical AI is in its early stages. There are significant challenges related to data resources, backbone models, mitigation methods, and evaluation metrics. Promising opportunities exist for novel faithful medical AI research involving the adaptation of LLMs and prompt engineering. Conclusion: This comprehensive review highlights the need for further research to address the issues of reliability and factuality in medical AI, serving as both a reference and inspiration for future research into the safe, ethical use of AI in medicine and healthcare.