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BACKGROUND: The COVID-19 pandemic has significantly impacted public health, putting people with Alzheimer's disease at significant risk. This study used bibliometric analysis method to conduct in-depth research on the relationship between COVID-19 and Alzheimer's disease, as well as to predict its development trends. METHODS: The Web of Science Core Collection was searched for relevant literature on Alzheimer's and Coronavirus-19 during 2019-2023. We used a search query string in our advanced search. Using Microsoft Excel 2021 and VOSviewer software, a statistical analysis of primary high-yield authors, research institutions, countries, and journals was performed. Knowledge networks, collaboration maps, hotspots, and regional trends were analyzed using VOSviewer and CiteSpace. RESULTS: During 2020-2023, 866 academic studies were published in international journals. United States, Italy, and the United Kingdom rank top three in the survey; in terms of productivity, the top three schools were Harvard Medical School, the University of Padua, and the University of Oxford; Bonanni, Laura, from Gabriele d'Annunzio University (Italy), Tedeschi, Gioacchino from the University of Campania Luigi Vanvitelli (Italy), Vanacore, Nicola from Natl Ctr Dis Prevent and Health Promot (Italy), Reddy, P. Hemachandra from Texas Tech University (USA), and El Haj, Mohamad from University of Nantes (France) were the authors who published the most articles; The Journal of Alzheimer's Disease is the journals with the most published articles; "COVID-19," "Alzheimer's disease," "neurodegenerative diseases," "cognitive impairment," "neuroinflammation," "quality of life," and "neurological complications" have been the focus of attention in the last 3 years. CONCLUSION: The disease caused by the COVID-19 virus infection related to Alzheimer's disease has attracted significant attention worldwide. The major hot topics in 2020 were: "Alzheimer' disease," COVID-19," risk factors," care," and "Parkinson's disease." During the 2 years 2021 and 2022, researchers were also interested in "neurodegenerative diseases," "cognitive impairment," and "quality of life," which require further investigation.
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BACKGROUND: Severe SARS-CoV-2 infection results in lymphopenia and impaired function of T, B, and NK (TBNK-dominant) lymphocytes. Mitochondria are essential targets of SARS-CoV-2 and the efficacy of lymphocyte mitochondrial function for immunosurveillance in COVID-19 patients has not been evaluated. METHODS: Multi-parametric flow cytometry was used to characterize mitochondrial function, including mitochondrial mass (MM) and low mitochondrial membrane potential (MMP(low)), in TBNK-dominant lymphocytes from severe (n=93) and moderate (n=77) hospitalized COVID-19 patients. We compared the role of novel lymphocyte mitochondrial indicators and routine infection biomarkers as early predictors of severity and death in COVID-19 patients. We then developed a mortality decision tree prediction model based on immunosurveillance indicators through machine learning. RESULTS: At admission, the MM of circulating NK cells (NK-MM) was the best discriminator of severe/moderate disease (AUC=0.8067) compared with the routine infection biomarkers. The NK cell count and NK-MM displayed superior diagnostic effects to distinguish patients with non-fatal or fatal outcomes. Interestingly, NK-MM was significantly polarized in non-survivors, with some patients showing a decrease and others showing an abnormal increase. Kaplan-Meier analysis showed that NK-MM had the optimal predictive efficacy (hazard ratio=11.66). The decision tree model has the highest proportion of importance for NK-MM, which is superior to the single diagnostic effect of the above indicators (AUC=0.8900). CONCLUSION: NK-MM was not only associated with disease severity, its abnormal increases or decreases also predicted mortality risk. The resulting decision tree prediction model is the first to focus on immune monitoring indicators to provide decision-making clues for COVID-19 clinical management.
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The inhibitory role of curcumin on sperm-associated antigen 5 (SPAG5) and its effects on the cancer‑related Wnt classical signaling pathway has been previously demonstrated. Nevertheless, research on the modulatory role of curcumin on the Wnt signaling pathway by acting on SPAG5 has yet to be reported. The activation of the Wnt/β‑catenin pathway is frequently observed in patients suffering from hepatocellular carcinoma (HCC), suggesting that small molecular drugs that target Wnt could present a promising therapeutic strategy. However, these drugs often result in substantial side effects. In the present study, the presence of SPAG5 in the cancer tissues of patients with HCC and cell lines was validated using immunohistochemistry, cellular immunofluorescence, reverse transcription‑quantitative polymerase chain reaction, and western blot analyses. Subsequently, the effect of SPAG5 and the regulatory role of curcumin on SPAG5 and the Wnt/β‑catenin pathway were examined using cell function tests, flow cytometry, and western blotting. Techniques of gene knockout and overexpression were employed. The findings revealed a significant overexpression of SPAG5 in the cancer tissues of patients with HCC. Both the mRNA and protein levels of SPAG5 in Huh7 and HCCLM3 cell lines were markedly elevated. Treatment with curcumin led to a decrease in SPAG5 expression, while also inhibiting cell migration and promoting apoptosis. Additionally, suppression of SPAG5 expression resulted in the decreased expression of β‑catenin. Furthermore, curcumin was observed to reduce the expression of cyclin D1 in SPAG5‑overexpressing cell lines. However, the degree of inhibition was diminished once SPAG5 expression was silenced. These initial findings indicate that SPAG5 may function as an upstream regulatory protein of the Wnt/β‑catenin pathway, hence offering a potential alternative target for HCC. Moreover, as curcumin has the capacity to inhibit Wnt via suppressing SPAG5, it could potentially serve as a natural drug component for early intervention and treatment of HCC.
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BACKGROUND: Increasing evidence has highlighted that systemic immune-inflammation index (SII), a recently developed prognostic biomarker that utilizes peripheral platelet, lymphocyte and neutrophil counts, is associated with unfavorable prognosis in various tumors. Nevertheless, the prognostic significance of SII in high-grade gliomas patients undergoing radical resection remains unclear. Therefore, the present study aimed to assess the potential of SII as a prognostic biomarker in this patient population. METHODS: A total of 111 adult patients with high-grade gliomas who underwent radical resection were consecutively enrolled in this investigation. The study involved the categorization of patients into high and low SII groups using predetermined cut-off values. Subsequently, forward stepwise logistic regression was employed to identify autonomous predictors for early gliomas recurrence. To mitigate the impact of confounding factors, a propensity score matching (PSM) analysis was performed between high and low SII patients. Finally, the Kaplan-Meier approach was utilized to compare the progression-free survival (PFS) and overall survival (OS) of the two groups. RESULTS: The study involved the categorization of patients into two groups based on their SII levels, namely high SII (> 604.8) and low SII (≤ 604.8) groups. Forward stepwise logistic regression revealed that high SII (p < 0.001) and tumor size ≥ 50 mm (p < 0.001) were significantly related to early recurrence of gliomas. Furthermore, the results indicate that PFS and OS were significantly shorter in the high SII group compared to the low SII group, both before and after PSM (p < 0.05). CONCLUSION: Preoperative biomarker SII can serve as a prognostic biomarker for early recurrence and prognosis in patients with high-grade gliomas undergoing radical resection. Furthermore, the combination of tumor size and SII demonstrates a robust predictive capacity for early recurrence and prognosis in this patient population.
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BACKGROUND: Spinal cord injury (SCI) refers to the interruption of the tracts inside the spinal cord caused by various factors. The repair of damaged axons has always been a difficult point in clinical treatment and neuroscience research. The treatment of SCI with Buyang huanwu decoction (BYHWD), a well-known recipe for invigorating Qi (a vital force forming part of any living entity in traditional Chinese culture) and promoting blood circulation, shows a good effect. METHODS: The rubrospinal tract (RST) transection model in rats was established in this study and rats were administrated with low (BL), medium (BM), or high (BH) doses of BYHWD. RESULTS: Compared with the SCI group, BL, BM moderately, and BH significantly improved the motor function of forelimbs and increased the number of red nucleus neurons in SCI rats. As for the possible molecular mechanism, BL, BM moderately, and BH significantly increased mTOR whereas decreased Beclin-1 and LC3 in the red nucleus. CONCLUSION: In conclusion, low, medium, and high doses of BYHWD could promote neural recovery in SCI rats through improving motor function and neuron survival in the red nucleus. The neuroprotective effects of BYHWD might be associated with affecting the mTOR signaling pathway and autophagy.
