The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models

Objective: Autologous peripheral blood stem cells (PBSC) derived from bone marrow can promote liver regeneration and improve the liver function of patients, but there are few studies on its effect on the long-term outcomes in patients with decompensated cirrhosis. Based on previous work, this study observed the clinical outcomes of PBSC treatment in patients with decompensated cirrhosis for 10 years, in order to provide more data support for the safety and efficacy of stem cells in clinical applications. Methods: Data of patients with decompensated liver cirrhosis who completed PBSC treatment in the Department of Gastroenterology of the First Affiliated Hospital of Air Force Military Medical University from August 2005 to February 2012 were included. The follow-up endpoint was death or liver transplantation, and patients who did not reach the follow-up endpoint were followed-up for at least 10 years. The patients with decompensated liver cirrhosis who met the conditions for PBSC treatment but did not receive PBSC treatment in our hospital during the same period were used as controls. Results: A total of 287 cases with decompensated liver cirrhosis had completed PBSC treatment, and 90 cases were lost to follow-up within 10 years after surgery. A total of 151 cases with complete survival follow-up data were included in the control group. There were no statistically significant differences in baseline information such as gender, age, etiological composition and liver function score between the two groups. The 10-year survival rate was higher in PBSC than control group (37.56% vs. 26.49%, P<0.05). Cholinesterase, albumin, international normalized ratio, Child-Turcotte-Pugh score, model for end-stage liver disease score, and other indicators were gradually recovered within 3 months to 1 year after PBSC treatment, and stabilized at a more desirable level in the long-term after follow-up for up to 10 years. There was no statistically significant difference in the incidence of liver cancer between the two groups (25.22% vs.31.85%, P=0.267). The age of onset of hepatocellular carcinoma was later in PBSC than control group [(56.66±7.21) years vs. (52.69±8.42) years, P<0.05]. Conclusions: This long-term observational follow-up study of more than ten years confirms that PBSC treatment can bring long-term benefits to patients with decompensated cirrhosis, with good long-term safety, thus providing more data support on the safety and efficacy of stem cells for clinical applications.
End Stage Liver Disease ; Follow-Up Studies ; Humans ; Liver Cirrhosis/drug therapy* ; Middle Aged ; Peripheral Blood Stem Cells ; Severity of Illness Index ; Treatment Outcome

Tenuifolin， a main component in Polygalae Radix， is frequently used as an important indicator for quality control of Polygalae Radix and its processed products. Dementia is a serious and persistent cognitive disorder， and the number of dementia patients is increasing worldwide， which brings great economic burden and mental pressure to families and society. At present， cholinesterase inhibitor and other drugs can only alleviate the symptoms of dementia， and there are some toxic and side effects. It has been found that tenuifolin can significantly improve cognitive disorder， learning and memory and is expected to be a potential drug for treating dementia. Tenuifolin exerts protective effects on amyloid-β （Aβ） deposition， acetylcholine reduction， neuroinflammation， cellular oxidative damage and nerve cell apoptosis caused by neurodegenerative diseases via multiple mechanisms， and can be applied to various types of dementia. In addition， it can be quickly absorbed into the blood， mainly distributed in liver and kidney， and can enter into the brain through the blood-brain barrier. However， because of its large molecular mass and poor fat solubility， tenuifolin can be rapidly eliminated， generating some problems such as low oral absoBrbability and permeability of blood-brain barrier. Therefore， the information of chemistry， pharmacology， pharmacokinetics and toxicology of tenuifolin was summarized in this paper to provide reference and ideas for further research and application.

OBJECTIVE: To predict the trends for fine-scale spread of Oncomelania hupensis based on supervised machine learning models in Shanghai Municipality, so as to provide insights into precision O. hupensis snail control. METHODS: Based on 2016 O. hupensis snail survey data in Shanghai Municipality and climatic, geographical, vegetation and socioeconomic data relating to O. hupensis snail distribution, seven supervised machine learning models were created to predict the risk of snail spread in Shanghai, including decision tree, random forest, generalized boosted model, support vector machine, naive Bayes, k-nearest neighbor and C5.0. The performance of seven models for predicting snail spread was evaluated with the area under the receiver operating characteristic curve (AUC), F1-score and accuracy, and optimal models were selected to identify the environmental variables affecting snail spread and predict the areas at risk of snail spread in Shanghai Municipality. RESULTS: Seven supervised machine learning models were successfully created to predict the risk of snail spread in Shanghai Municipality, and random forest (AUC = 0.901, F1-score = 0.840, ACC = 0.797) and generalized boosted model (AUC= 0.889, F1-score = 0.869, ACC = 0.835) showed higher predictive performance than other models. Random forest analysis showed that the three most important climatic variables contributing to snail spread in Shanghai included aridity (11.87%), ≥ 0 °C annual accumulated temperature (10.19%), moisture index (10.18%) and average annual precipitation (9.86%), the two most important vegetation variables included the vegetation index of the first quarter (8.30%) and vegetation index of the second quarter (7.69%). Snails were more likely to spread at aridity of < 0.87, ≥ 0 °C annual accumulated temperature of 5 550 to 5 675 °C, moisture index of > 39% and average annual precipitation of > 1 180 mm, and with the vegetation index of the first quarter of > 0.4 and the vegetation index of the first quarter of > 0.6. According to the water resource developments and township administrative maps, the areas at risk of snail spread were mainly predicted in 10 townships/subdistricts, covering the Xipian, Dongpian and Tainan sections of southern Shanghai. CONCLUSIONS Supervised machine learning models are effective to predict the risk of fine-scale O. hupensis snail spread and identify the environmental determinants relating to snail spread. The areas at risk of O. hupensis snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.
Animals ; Bayes Theorem ; China/epidemiology* ; Ecosystem ; Gastropoda ; Supervised Machine Learning

OBJECTIVES: To explore the forensic application value of cluster of differentiation 83 (CD83) and heat shock transcription factor 5(HSF5) in identifying antemortem and postmortem skin burns. METHODS: Through reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR), CD83 and HSF5 mRNA levels in the skin tissues of antemortem and postmortem burned mice and human samples were detected quantitatively. RESULTS: Compared with the control group and the postmortem burned group, the mRNA levels of CD83 and HSF5 in antemortem burned mice were higher. The high mRNA expressions of CD83 could be detected 96 h after death, and the mRNA expressions of HSF5 could be observed 72 h after death. Compared with undamaged skin, increased CD83 and HSF5 mRNA levels were detected in 11 out of 15 cases(P<0.05). CONCLUSIONS CD83 and HSF5 can be used in forensic practice as indicators for vital reaction in antemortem burn identification.
Animals ; Autopsy ; Burns/metabolism* ; Forensic Medicine ; Mice ; Postmortem Changes ; Skin/injuries* ; Soft Tissue Injuries

OBJECTIVE: To investigate the clinical characteristics and high risk factors of Rheumatoid arthritis (RA) complicated with tuberculosis infection. METHODS: Patients with rheumatoid arthritis diagnosed in the hospital of Sichuan Provincial People's Hospital from January 2007 to January 2017 was retrospectively collected, who were enrolled in the study group. A control group was randomly selected from the RA patients hospitalized in the same period without co-infection at a ratio of 1 :2. The general data, clinical data, laboratory test data, treatment plan, etc. of the two groups were collected in detail for single factor statistical analysis. Then multivariate Logistic regression was used to analyze the independent risk factors of RA complicated with tuberculosis infection with statistical significance in univariate analysis. RESULTS: The clinical manifestations of fever (83.3%) were most common, followed by cough (69%) and body mass loss (45.2%). In the infected group, pulmonary tuberculosis accounted for 73.3%. In the infected group the chest CT showed two or more cases, accounting for 59%. There were 9 cases (33.3%) occurring in the typical tuberculosis occurrence site. Compared with the control group, the erythrocyte sedimentation rate (ESR), C-reaction protein (CRP) levels, and the daily average dose of glucocorticoid in 1 year in the infected group were higher than those in the control group. And those differences were statistically significant(P < 0.05). There were no significant differences in gender, age, disease duration, disease activity score, white blood cell (WBC), platelet (PLT), hemoglobin (Hb), immunoglobulin G (IgG), complement (C), Anti cyclic citrullinated peptide antibody (anti-CCP), CD4⁺T cell count, and immunosuppressant use (P > 0.05). Multivariate Logistic regression analysis showed that CRP levels(OR=1.016, 95%CI:1.002-1.031) and the daily average dose of glucocorticoid in 1 year(OR=1.229, 95%CI:1.066-1.418)were the independent risk factors of RA complica-ted with tuberculosis infection. CONCLUSION RA patients with tuberculosis infection are mainly phthisis. The clinical manifestations of RA combined with tuberculosis infection are lack of specificity, and the chest imaging features of pulmonary tuberculosis are diverse, which are easy to be misdiagnosed. CRP levels and the daily average dose level of glucocorticoid in 1 year were risk factors for RA and tuberculosis infection.
Arthritis, Rheumatoid/complications* ; Autoantibodies ; Blood Sedimentation ; Humans ; Peptides, Cyclic ; Retrospective Studies ; Rheumatoid Factor ; Tuberculosis/epidemiology*

Objective:To evaluate the efficacy and safety of traditional Chinese medicine (TCM) in the treatment of post stroke cognitive impairment (PSCI). Method:Seven databases, including CNKI, WanFang, VIP, CBM, PubMed, The Cochrane library and ClinicalTrials.gov, were electronically searched for relevant randomized controlled trials (RCTs) of TCM in the treatment of PSCI. The Cochrane risk of bias assessment tool was used to evaluate the methodological quality of the included studies, descriptive analysis was carried out on the included studies, and the Meta quantitative analysis was carried out with RevMan 5.3 software. Result:A total of 16 RCTs were included with 1 296 participants, and they were assigned to the intervention group (n=649) and the control group (n=647). The results showed that TCM combined with western medicine group and TCM group were better than western medicine group in improving the scores of Montreal Cognitive Assessment (MoCA), Mini-mental State Examination (MMSE), Barthel Index (BI), Activity of Daily Living (ADL), Chinese stroke scale (CSS) and National Institutes of Health stroke scale (NIHSS) of PSCI patients, and no serious adverse events were observed. Conclusion:TCM has potential advantages in improving the cognitive function of patients with PSCI, and it also has certain efficacy in improving the daily living ability and neurological impairment symptoms, and no serious adverse events have been observed. Due to the low quality of methodology included in the studies, in order to provide reliable basis for clinical decision-making, high-quality of RCTs are still needed to study the efficacy and safety of TCM for PSCI.