Dental stem cells (DSCs), a distinct subset of mesenchymal stem cells (MSCs), are isolated from dental tissues, such as dental pulp, exfoliated deciduous teeth, periodontal ligament, and apical papilla. They have emerged as a promising source of stem cell therapy for tissue regeneration and autoimmune disorders. The main types of DSCs include dental pulp stem cells (DPSCs), stem cells from human exfoliated deciduous teeth (SHED), periodontal ligament stem cells (PDLSCs), and stem cells from apical papilla (SCAP). Each type exhibits distinct advantages: easy access via minimally invasive procedures, multi-lineage differentiation potential, and excellent ethical acceptability. DSCs have demonstrated outstanding clinical efficacy in oral and maxillofacial regeneration, and their long-term safety has been verified. In oral tissue regeneration, DSCs are highly effective in oral tissue regeneration for critical applications such as the restoration of dental pulp vitality and periodontal tissue repair. A defining advantage of DSCs lies in their ability to integrate with host tissues and promote physiological regeneration, which render them a better option for oral tissue regenerative therapies. Beyond oral applications, DSCs also exhibit promising potential in the treatment of systemic diseases, including type Ⅱ diabetes and autoimmune diseases due to their immunomodulatory effects. Moreover, extracellular vesicles (EVs) derived from DSCs act as critical mediators for DSCs' paracrine functions. Possessing regulatory properties similar to their parental cells, EVs are extensively utilized in research targeting tissue repair, immunomodulation, and regenerative therapy-offering a "cell-free" strategy to mitigate the limitations associated with cell-based therapies. Despite these advancements, standardizing large-scale manufacturing, maintaining strict quality control, and clarifying the molecular mechanisms underlying the interaction of DSCs and their EVs with recipient tissues remain major obstacles to the clinical translation of these treatments into broad clinical use. Addressing these barriers will be critical to enhancing their clinical applicability and therapeutic efficacy. In conclusion, DSCs and their EVs represent a transformative approach in regenerative medicine, and increasing clinical evidence supports their application in oral and systemic diseases. Continuous innovation remains essential to unlocking the widespread clinical potential of DSCs.
Humans ; Dental Pulp/cytology* ; Translational Research, Biomedical ; Mesenchymal Stem Cells/cytology* ; Periodontal Ligament/cytology* ; Stem Cells/cytology* ; Regeneration ; Tooth, Deciduous/cytology* ; Cell Differentiation ; Tissue Engineering/methods* ; Regenerative Medicine

Nucleic acid elements are essential functional sequences that play critical roles in regulating gene expression, optimizing pathways, and enabling gene editing to enhance the production of target products in biomanufacturing. Therefore, the design and optimization of these elements are crucial in constructing efficient cell factories. Artificial intelligence (AI) provides robust support for biomanufacturing by accurately predicting functional nucleic acid elements, designing and optimizing sequences with quantified functions, and elucidating the operating mechanisms of these elements. In recent years, AI has significantly accelerated the progress in biomanufacturing by reducing experimental workloads through the design and optimization of promoters, ribosome-binding sites, terminators, and their combinations. Despite these advancements, the application of AI in biomanufacturing remains limited due to the complexity of biological systems and the lack of highly quantified training data. This review summarizes the various nucleic acid elements utilized in biomanufacturing, the tools developed for predicting and designing these elements based on AI algorithms, and the case studies showcasing the applications of AI in biomanufacturing. By integrating AI with synthetic biology and high-throughput techniques, we anticipate the development of more efficient tools for designing nucleic acid elements and accelerating the application of AI in biomanufacturing.
Artificial Intelligence ; Synthetic Biology ; Nucleic Acids/genetics* ; Algorithms ; Gene Editing ; Promoter Regions, Genetic ; Biotechnology/methods*

AIM: To investigate the effect of adalimumab combined with dexamethasone intravitreal implant in the treatment of refractory non-infectious uveitis macular edema(UME).METHODS: A total of 92 cases(131 eyes)of refractory non-infectious UME patients admitted to our hospital from January 2020 to January 2022 were selected and randomly divided into control group, with 46 cases(63 eyes)treated with dexamethasone intravitreal implant and observation group, with 46 cases(68 eyes)treated with adalimumab subcutaneous injection combined with dexamethasone intravitreal implant. The best corrected visual acuity(BCVA), central retinal thickness(CRT), vitreous opacity and Th17/Treg cytokines were measured before and after treatment, and the occurrence of adverse reactions was recorded.RESULTS: Totally 3 cases(4 eyes)were lost to follow-up. After treatment for 1, 3, 6 and 12 mo, BCVA was improved in both groups compared with that before treatment, and CRT, vitreous opacity score, serum interleukin(IL)-17 and IL-22 levels were decreased compared with those before treatment, and serum transforming growth factor-β(TGF-β)and IL-10 levels were increased compared with those before treatment. BCVA in the observation group was better than that in the control group, and CRT, vitreous opacity score, serum IL-17 and IL-22 levels were lower than those in the control group, and serum TGF-β and IL-10 levels were higher than those in the control group(all P<0.05). During treatment and follow-up, no serious adverse reactions occurred in both groups.CONCLUSION: Adalimumab combined with dexamethasone intravitreal implants in the treatment of refractory non-infectious UME can significantly subside the macular edema, reduce vitreous opacity and improve visual acuity.

Xihuang pills are a classic Chinese patent medicine following the theoretical principle of combining eliminating pathogen with reinforcing healthy qi in both local areas and the whole body， with the effects of clearing heat， detoxifying， alleviating edema， and dissipating mass. This medicine is traditionally used for treating carbuncle， furuncle， multiple abscess， carcinoma of breast， phlegm nodule， scrofula， lung abscess， and intestine abscess caused by fire depression， phlegm stasis， and heat toxin stagnation. It is used for treating malignant tumors， breast hyperplasia， herpes zoster， lymphadenitis， pelvic inflammatory disease， mastitis， vocal cord leukoplakia， and acne in modern medicine. Xihuang pills are now included in the 2020 edition of the Chinese Pharmacopoeia. The use of high-quality medicinal materials and modern technology enables full retaining of the active components in the medicinal materials. The chemical components in this medicine mainly include amino acids， terpenoids， fatty acids， fatty acid esters， phenols， bile acids， bile pigments， and volatile oils. Modern pharmacological studies have shown that a variety of active components such as bilirubin， bile acid， boswellic acid， and volatile oil in Xihuang pills interact with each other to exert anti-tumor， anti-breast hyperplasia， immunomodulatory， anti-inflammatory， and neuroendocrine-regulating effect. This paper reviews the research progress in the active components and pharmacological effects of Xihuang pills and predicts the quality markers （Q-markers） of this medicine according to the transmission， traceability， specificity， efficacy， measurability， and compound compatibility in the concept of Q-marker. It is suggested that bilirubin， bile acid， taurine， muskone， 11-carbonyl-β-boswellic acid， β-boswellic acid， 3-acetyl-11-keto-β-boswellic acid， octyl acetate， β-elemene， and myrrhone can be used as Q-markers of Xihuang pills， which can provide a basis for research on the material basis and the quality control of Xihuang pills.

Objective To analyze the interaction between voriconazole(VRC)and immunosuppressants such as tacrolimus and cyclosporine and the effect of CYP2C19 gene polymorphism on the interaction and adverse reactions(ADR)based on the results of CYP2C19 gene polymorphism and therapeutic drug monitoring,so as to provide a basis for the development of individualized VRC combined with immunosuppressants.Methods Two-dimensional liquid chromatography and pyrosequencing was used to detect the concentration of VRC and the CYP2C19 gene pol-ymorphism,respectively.And the concentration of immunosuppressants was detected at the same time.The rela-tionship among CYP2C19 gene polymorphism,the concentration of VRC and immunosuppressant and ADR was an-alyzed.Results A total of 61 patients were enrolled in this study,and the mutation rates of CYP2C19*2 and CYP2C19*3 were 54.1％(33/61)and 9.84％(6/61),respectively.The concentrations of VRC in patients with extensive metabolism(EMs),intermediate metabolism(IMs)and poor metabolism(PMs)were(4.44±3.46),(3.62±3.02)and(10.05±1.46)μg/ml(P＜0.05),respectively.The concentration of tacrolimus af-ter combined with VRC significantly increased compared to tacrolimus alone[(13.4±9.2)ng/ml vs(6.5±3.6)ng/ml;P=0.002],and the concentration of tacrolimus increased along with an increasing of VRC concentration.The concentration of VRC in patients combined with tacrolimus was lower than that in patients without immunosup-pressants[(3.81±3.48)μg/ml vs(5.84±3.71)μg/ml;P=0.032].The concentration of VRC inpatients with cyclosporine significantly decreased(P＜0.01),while tacrolimus and mycophenolate mofetil had no signifi-cant effect on the concentration of VRC.45.90％(28/61)of the patients had adverse reactions,the concentration of VRC in patients with ADR was significantly higher than that in patients without ADR[(7.07±3.43)μg/ml vs(3.06±2.90)μg/ml;P＜0.001].And the concentration of VRC in patients with ADR was higher than patients without ADR with based on CYP2C19 genotype.Conclusion CYP2C19 gene polymorphism can significantly affect the concentration and adverse reactions of VRC,and VRC has significant interaction with immunosuppressants such as tacrolimus.CYP2C19 gene polymorphism combined with therapeutic drug monitoring can improve the individual-ized treatment of tacrolimus and voriconazole,and is expected to minimize toxicity and improve treatment effects.

Objective To observe the effect of cluster emergency nursing in treating patients with chlorfenapyr poisoning. Methods A retrospective analysis was performed for the treatment and nursing processes of 6 patients with chlorfenapyr poisoning. Results Among the 6 patients with chlorfenapyr poisoning, 5 cases were orally poisoned and one case was poisoned by respiratory tract and skin absorption of toxins. All of the 6 patients with chlorfenapyr poisoning were treated through the green channel for poisoning treatment, and multidisciplinary cooperation cluster treatment and nursing as well as toxicant detection were carried out. One patient was excluded because no chlorfenapyr component was detected in the toxicant detection; the remaining 5 patients had different degrees of fever, fatigue, nausea and vomiting and other symptoms in the early stage, and among them, 4 patients had high fever and aggravated degree of consciousness disturbance in the later stage of the disease, and died of ineffective treatment for 2 to 11 days after poisoning (one patient was out of contact and was expected to die), with a mortality rate of 80%. Conclusion There is no specific antidote for chlorfenapyr poisoning, and the mortality rate is extremely high. After poisoning, blood, urine and other specimens should be collected as soon as possible for toxic examination. At the same time, early gastric lavage (within 6 hours), intestinal adsorption, gastrointestinal catharsis, enema and other symptomatic treatments should be given. Continuous blood purification should be performed as soon as possible to remove blood toxins, and extracorporeal membrane oxygenation can be performed if conditions permit.

OBJECTIVE: Evidence that long-term exposure to ambient air pollution increases mortality among older adults, particularly those residing in low-level air pollution locations, remains scarce. This study investigated the potential links between long-term low-level air pollution exposure and mortality among Chinese older adults. METHODS: A population-based study with 317,464 individuals aged ≥ 65 years was conducted in Shenzhen, China during 2018 and 2020. Logistic regression models were used to analyze the associations between long-term exposure to air pollution and all-cause mortality, as the primary outcome, as well as non-accidental, cancer and cardiovascular mortality. RESULTS: Significant associations of PM ₁, PM _2.5, PM ₁₀, SO ₂, CO, and O ₃ exposures with a higher risk of all-cause mortality were found. Adjusted odds ratio ( OR) for each 1 µg/m ³ increment was 1.49 [95% confidence interval ( CI): 1.46, 1.53] for PM ₁, 1.30 (1.27, 1.32) for PM _2.5, 1.05 (1.04, 1.06) for PM ₁₀, 5.84 (5.39, 6.32) for SO ₂, 1.04 (1.04, 1.05) for CO, and 1.02 (1.00, 1.03) for O ₃, respectively. Long-term PM ₁, PM _2.5, PM ₁₀, SO ₂, and CO exposures also elevated the risks of non-accidental, cancer and cardiovascular mortality. CONCLUSION Long-term low-level air pollution exposure was associated with an increased mortality risk among Chinese older adults.
Humans ; Aged ; China/epidemiology* ; Male ; Female ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Air Pollutants/analysis* ; Aged, 80 and over ; Particulate Matter/adverse effects* ; Cardiovascular Diseases/mortality* ; Mortality ; Neoplasms/mortality* ; East Asian People

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.