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BackgroundWe conducted an overview to assess immune adverse effects associated with the COVID-19 vaccine, guiding safer choices and providing evidence-based information to clinicians.MethodsForty-three studies on adverse effects of vaccines were reviewed from PubMed, Embase, and Web of Science. Single-arm meta-analyses estimated summary effects, incidence, presentation, etc. An overview using single-arm meta-analysis and reported the findings following the guidelines outlined in the ‘Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) specifically focusing on myocarditis and thrombosis. After screening 2,591 articles, 42 studies met the inclusion criteria. Methodological quality was evaluated using AMSTAR 2. Disagreements were resolved via consensus. Data analysis utilized a random-effects model in R software to estimate incidence rates of selected adverse events.ResultsAfter removing 1,198 duplicates and screening out irrelevant articles from a total of 2,591, we included 42 studies. Adverse reactions to vaccinations include myocarditis, thrombosis, skin reactions, GBS, etc. thrombosis and myocarditis are the most dangerous diseases associated with vaccination. Myocarditis occurred in 6% of Vector vaccine recipients, compared to 61% of mRNA vaccine recipients. Thrombosis was more common after Vector vaccination (91%) than after mRNA vaccination (9%). Furthermore, eight studies conducted anti-PF4 antibody tests and yielded a positivity rate of 67%. Meta-analysis showed that among all patients with Vaccine-induced Thrombotic Thrombocytopenia, cerebral venous sinus thrombosis occurred in 66%, and intracranial hemorrhage occurred in 43%. The rates of deep vein thrombosis and pulmonary thromboembolism in vaccinated patients were 13% and 23%, respectively, with a pooled case fatality rate of 30%.ConclusionThe results of this overview indicate the majority of adverse reactions are self-limiting and require minimal intervention, while rare occurrences such as myocarditis and thrombosis pose a potentially fatal threat.

The advancement of data collection technology has led to a rapid increase in the size of datasets.Due to the big scale and high complexity of the data volume, serious data quality issues arise.Therefore, data cleaning is a necessary and important step in data activities.To effectively reduce human annotation costs while ensuring the accuracy of cleaning, an iterative data cleaning method (IDCHI) with human participation was proposed.This method proposed a data selection optimization method in the detection module, which enables the classifier to have high accuracy in the initial stage; and further proposed a method for selecting data to be manually annotated, effectively reducing the amount of data to be manually annotated.The experimental results show that the proposed method is effective and efficient in cleaning erroneous data.

Abstract Introduction This study aimed to explore the association of serum lactate with clinical outcomes in elderly patients with sepsis based on data from the MIMIC-IV database. Methods All elderly patients with sepsis (age ≥ 65 years) were included. Different models were constructed for exploring the relationships between lactate and 28-day mortality. A two-segment linear regression model was performed to verify the threshold effects of lactate on clinical outcomes and smooth curve fitting was performed. Results A total of 4199 elderly patients with sepsis were included. The 28-day mortality was 32.22% (n = 1395). After adjustment for all potential cofounders, for each 1 mmol/l increment in lactate, the odds ratio (OR) of 28-day mortality was 1.23 (95% CI 1.18–1.28, P 5.7 mmol/l (OR 1.10, 95% CI 1.04–1.18, P = 0.0019). The area under the ROC curve (AUC) of lactate was 0.618 (95% CI 0.599–0.635) and the cutoff value of lactate was 2.4 mmol/l with a sensitivity of 0.483 and a specificity of 0.687. Conclusion In elderly patients with sepsis, a non-linear positive relationship was discovered between serum lactate and 28-day mortality. Physicians should be alert to lactate assessment at admission and pay more attention to those patients with higher levels of lactate.

Abstract There is currently insufficient evidence of correlation between on-admission serum uric acid and in-hospital mortality of patients with acute type A aortic dissection. Thus, this study analysed the relation between serum uric acid and in-hospital deaths in patients with acute type A aortic dissection. A total of 1048 patients with acute type A aortic dissection participated in this study between January 2010 and December 2018. The independent variable was on-admission serum uric acid, whilst the dependent variable was in-hospital deaths. The covariates of the study included patient age, gender, body mass index, smoking status, hypertension, diabetes, Marfan syndrome, bicuspid aortic valve, chronic renal insufficiency, stroke, atherosclerosis, time to presentation, systolic blood pressure, diastolic blood pressure, aortic diameter, aortic regurgitation, abdominal vessel involvement, arch vessel involvement, ejection fraction value, laboratory parameters, symptom, coronary malperfusion, mesenteric malperfusion, cerebral malperfusion, hypotension/shock, cardiac tamponade and operation status. The mean age of the sample was 50.17 ± 11.47 years, with approximately 24.24% of the participants being female. After analysis, it was found that the admission serum uric acid of patients with acute type A aortic dissection was positively correlated with in-hospital death (OR = 1.04, 95% CI 1.02–1.06). Subsequently, a non-linear relationship was determined between admission serum uric acid (point 260 µmol/L) and in-hospital mortality for patients with acute type A aortic dissection. The effect sizes and confidence intervals of the right (serum uric acid > 260 µmol/L) and left (serum uric acid ≤ 260 µmol/L) aspects of the inflection point were 1.04 (1.02–1.05) and 1.00 (0.99–1.02), respectively. Furthermore, subgroup analysis indicated a stable relationship between serum uric acid and in-hospital mortality, whilst an insignificant difference was found for the interactions between different subgroups. Overall, a non-linear correlation was determined between admission serum uric acid and in-hospital mortality of patients with acute type A aortic dissection. When serum uric acid > 260 µmol/L, it showed a positive correlation with in-hospital mortality.

Previously, we reported that Y6, a new epigallocatechin gallate derivative, is efficacious in reversing doxorubicin (DOX)--mediated resistance in hepatocellular carcinoma BEL-7404/DOX cells. In this study, we evaluated the efficacy of Y6 in reversing drug resistance both in vitro and in vivo by determining its effect on the adenosine triphosphate-binding cassette protein B1 transporter (ABCB1 or P-glycoprotein, P-gp). Our results showed that Y6 significantly sensitized cells overexpressing the ABCB1 transporter to anticancer drugs that are ABCB1 substrates. Y6 significantly stimulated the adenosine triphosphatase activity of ABCB1. Furthermore, Y6 exhibited a higher docking score as compared with epigallocatechin gallate inside the transmembrane domain of ABCB1. In addition, in the nude mouse tumor xenograft model, Y6 (110 mg/kg, intragastric administration), in combination with doxorubicin (2 mg/kg, intraperitoneal injection), significantly inhibited the growth of BEL-7404/DOX cell xenograft tumors, compared to equivalent epigallocatechin gallate. In conclusion, Y6 significantly reversed ABCB1-mediated multidrug resistance and its mechanisms of action may result from its competitive inhibition of the ABCB1 drug efflux function. KEY WORDS: Epigallocatechin gallate (EGCG), 5,3′,4′,3″,4″,5″-6-O-ethyl-EGCG (Y6), Drug resistance, Resistance reversal, ABCB1, P-gp

Escalating anthropogenic pressures now threaten ~60% of primate species across the world with extinction. Developing effective evidence-based conservation for threatened primate species requires accurate and precise information on their population abundance. However, standard ecological field techniques are costly in terms of time, resources and manpower, meaning that the effectiveness of alternative survey and monitoring methods must be investigated. Thermal infrared imaging using drones may be able to improve ability to detect individuals and accuracy of population abundance estimates for primate species at lower cost. Here we use a drone with a thermal infrared sensor to survey the largest social group (Group C) of the Hainan gibbon (Nomascus hainanus), the world’s rarest primate species, which survives as a remnant population in Bawangling National Nature Reserve, Hainan, China. Group C is known to currently contain nine Hainan gibbon individuals based on regular visual monitoring. Drone surveys conducted over two consecutive days and nights in April 2019 demonstrated that thermal infrared imaging can detect the presence of different gibbon individuals in this social group, with comparable group size estimates to regular visual monitoring, and provides the first information about Hainan gibbon sleeping behavior and the range of nocturnal body temperatures for the species. This method can therefore be used to monitor other Hainan gibbon groups in the future, and can also be used to survey individuals and study nocturnal behaviors in other threatened or cryptic primate species.

Shengbai decoction (SBD), a famous Chinese herbal prescription, has been used for treatment of leukopenia for decades in China. In this study, its synergistic antitumor effect in combination with cyclophosphamide (CTX) on melanoma-bearing mice wasinvestigated. A total of forty C57BL/6 male mice successfully modeled (6–8 weeks old, 18−22 g) were randomly divided into 4 groups (n = 10): 1) the model group, 2) the CTX group, 3) the low dose of SBD (10.66 g/kg/d, raw medicine) and CTX group, and 4) the high dose of SBD (31.98 g/kg/d, raw medicine) and CTX group. Melanoma mice models were established by injection of 0.1 mL of melanoma cell suspension under the midline of the back of each C57BL/6 mouse. Treatment started five days after modeling. The results showed that SBD significantly alleviated histopathological damage, and reduced tumor growth and the concentrations of IL-6, IFN-γ and TNF-α in serum. Furthermore, the combined therapy increased the positive expression of NF-κB and promoted apoptosis compared with CTX alone. These results indicated that SBD could improve the antitumor effect of CTX on melanoma in vivo. And this combination treatment may be an ideal therapy against melanoma.

Dacrydium pectinatum de Laubenfels is a perennial gymnosperm species dominant in tropical montane rain forests. Due to severe damages by excessive deforestation, typhoons, and other external forces, the population of the species has been significantly reduced. Furthermore, its natural regeneration is poor. To better understand the male cone development in D. pectinatum, we examined the morphological and anatomical changes, analyzed the endogenous hormone dynamics, and profiled gene expression. The morpho-histological observations suggest that the development of D. pectinatum male cone can be largely divided into four stages: microspore primordium formation (April to May), microspore sac and pollen mother cell formation (July to November), pollen mother cell division (January), and pollen grain formation (February). The levels of gibberellins (GA), auxin (IAA), abscisic Acid (ABA), cytokinin (CTK), and jasmonic acid (JA) fluctuated during the process of male cone development. The first transcriptome database for a Dacrydium species was generated, revealing >70,000 unigene sequences. Differential expression analyses revealed several floral and hormone biosynthesis and signal transduction genes that could be critical for male cone development. Our study provides new insights on the cone development in D. pectinatum and the foundation for male cone induction with hormones and studies of factors contributing to the species’ low rate of seed germination.

Location-based services (LBS) leveraged by ubiquitous mobile devices have brought great convenience to mobile users in various aspects, including communication, information exchange, social activities, and so on. However, privacy concerns arise at the same time, since the users need to submit their locations and query contents to the LBS servers. To this end, location privacy and query privacy have been recognized. In particular, this paper focuses on query privacy for preventing the leakage of users' query contents. Cloaking region-based techniques using untrusted servers and client-based k-anonymity approaches have been devised to preserve query privacy in LBS. However, these works suffer from single point of failure or insufficiency of query privacy. To address this issue, we investigate effective k-anonymity-based solutions for query privacy in LBS. We formulate a probabilistic framework PkA, under which k-anonymity-based mechanisms can be initiated, and analyze a recent proposed algorithm DLS as an instance of PkA. An algorithm circle segment is presented to provide effective query privacy when query interests have similar prior probability. To obtain more effective query privacy in general cases, we propose two algorithms MEE and MER, which optimize two individual privacy metrics, denoted expected entropy and expected max-min ratio, adopted in this paper. We recognize two practical properties - No More Leakage and k-Effectiveness for effective query privacy, and our proposed algorithms satisfy both of No More Leakage and k-Effectiveness. We conduct evaluation based on real-life data sets and synthetic distributions of query interests, and the evaluation results demonstrate that our proposed algorithms produce significantly improved query privacy.