1
|
Zhang J, Yang Z, Zhao Z, Zhang N. Structural and pharmacological insights into cordycepin for neoplasms and metabolic disorders. Front Pharmacol 2024; 15:1367820. [PMID: 38953102 PMCID: PMC11215060 DOI: 10.3389/fphar.2024.1367820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Cytotoxic adenosine analogues were among the earliest chemotherapeutic agents utilised in cancer treatment. Cordycepin, a natural derivative of adenosine discovered in the fungus Ophiocordyceps sinensis, directly inhibits tumours not only by impeding biosynthesis, inducing apoptosis or autophagy, regulating the cell cycle, and curtailing tumour invasion and metastasis but also modulates the immune response within the tumour microenvironment. Furthermore, extensive research highlights cordycepin's significant therapeutic potential in alleviating hyperlipidaemia and regulating glucose metabolism. This review comprehensively analyses the structure-activity relationship of cordycepin and its analogues, outlines its pharmacokinetic properties, and strategies to enhance its bioavailability. Delving into the molecular biology, it explores the pharmacological mechanisms of cordycepin in tumour suppression and metabolic disorder treatment, thereby underscoring its immense potential in drug development within these domains and laying the groundwork for innovative treatment strategies.
Collapse
Affiliation(s)
- Jinming Zhang
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
| | - Ziling Yang
- Second Hospital of Jilin University, Jilin University, Changchun, China
| | - Zhuo Zhao
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
| | - Nan Zhang
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
| |
Collapse
|
2
|
Guo H, Wan C, Zhu J, Jiang X, Li S. Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study. Front Endocrinol (Lausanne) 2024; 15:1377792. [PMID: 38904046 PMCID: PMC11188308 DOI: 10.3389/fendo.2024.1377792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
Background and Objective Previous research suggested a relationship between the Systemic Immune-Inflammation Index (SII) and multiple adverse health conditions. However, the role of SII in prediabetes and insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore the potential relationship between SII and prediabetes and IR, providing data support for effective diabetes prevention by reducing systemic inflammation. Methods Linear regression models were used to assess the correlation between continuous SII and risk markers for type 2 diabetes (T2D). Subsequently, multivariate logistic regression models and subgroup analyses were employed to evaluate the association between SII tertiles and prediabetes and IR, controlling for various confounding factors. Finally, restricted cubic spline graphs were used to analyze the nonlinear relationship between SII and IR and prediabetes. Results After controlling for multiple potential confounders, SII was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 to 0.160), fasting serum insulin (FSI) (β: 1.042; 95% CI: 0.200 to 1.885), and homeostasis model assessment of insulin resistance (HOMA-IR) (β: 0.273; 95% CI: 0.022 to 0.523). Compared to participants with lower SII, those in the highest tertile had increased odds of prediabetes (OR: 1.17; 95% CI: 1.02-1.34; p for trend < 0.05) and IR (OR: 1.35; 95% CI: 1.18 to 1.51; p for trend<0.001). Conclusions Our study results demonstrate an elevated association between SII levels and both IR and prediabetes, indicating SII as a straightforward and cost-effective method identifying individuals with IR and prediabetes.
Collapse
Affiliation(s)
- Han Guo
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chuan Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jingjing Zhu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiuxing Jiang
- Frontier Medical Training Brigade, Third Military Medical University (Army Medical University), Xinjiang, China
| | - Shufa Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| |
Collapse
|
3
|
Alhalwani AY, Jambi S, Borai A, Khan MA, Almarzouki H, Elsayid M, Aseri AF, Taher NO, Alghamdi A, Alshehri A. Assessment of the systemic immune-inflammation index in type 2 diabetic patients with and without dry eye disease: A case-control study. Health Sci Rep 2024; 7:e1954. [PMID: 38698793 PMCID: PMC11063262 DOI: 10.1002/hsr2.1954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 02/12/2024] [Accepted: 02/19/2024] [Indexed: 05/05/2024] Open
Abstract
Background The inflammation plays a role in the pathophysiology of type-2 diabetes progression, and the mechanism remains unclear. The systemic immune-inflammation index (SII) is a novel inflammatory marker for type 2 diabetes patients and integrates multiple indicators in complete blood counts and routine blood tests. Aim Since there is no international diagnostic standard for dry eye disease (DED), this study uses low-cost inflammatory blood biomarkers to investigate the correlation between SII and DM2-DED and determine the diagnosis indices of other biomarkers in DM2-DED. Methodology A case-control retrospective analysis of totel patients n = 293 randomly selected and categorized into four groups: DED, DM2, DM2-DED, and healthy subjects. Demographic and blood biomarker variables were classified as categorical and continuous variables. The platelet-to-lymphocyte ratio (PLR), lymphocytes-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio (NLR), and SII were calculated platelet count multiply by NLR and analyzed for their correlation for all groups. Results Focusing on DM2-DED patients was more common in females, 59.6%, than in males, 40.2%. The mean ages were 60.7 ± 11.85 years, a statistically significant difference with all groups. In the study group DM2-DED, there was an increase in all blood markers compared to all remaining groups except PLR. Only neutrophil, hemoglobin A1c (HbA1c), and fasting blood sugar levels were statistically significant differences in DM2-DED patients (p > 0.001, p < 0.001, and p < 0.001, respectively) compared to all groups. There was a positive correlation between HbA1c and PLR, HbA1c and NLR, and HbA1c and SII (r = 0.037, p = 0.705; r = 0.031, p = 0.754; and r = 0.066, p < 0.501, respectively) in the DM2-DED group. Conclusion This study demonstrated that elevated SII values were linked to elevated HbA1c in DM2-DED patients. The potential of SII and HbA1c as early diagnostic indicators for ocular problems associated with diabetes mellitus is highlighted by their favorable connection in diagnosing DM2-DED.
Collapse
Affiliation(s)
- Amani Y. Alhalwani
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Shatha Jambi
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Anwar Borai
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
- King Abdulaziz Medical CityJeddahSaudi Arabia
| | - Muhammad Anwar Khan
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Hashem Almarzouki
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
- King Abdulaziz Medical CityJeddahSaudi Arabia
| | - Mohieldin Elsayid
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | | | - Nada O. Taher
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
| | - Ali Alghamdi
- Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia
| | | |
Collapse
|
4
|
Zhang J, Fan X, Xu Y, Wang K, Xu T, Han T, Hu C, Li R, Lin X, Jin L. Association between inflammatory biomarkers and mortality in individuals with type 2 diabetes: NHANES 2005-2018. Diabetes Res Clin Pract 2024; 209:111575. [PMID: 38346591 DOI: 10.1016/j.diabres.2024.111575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/25/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE This study aimed to examine independent association between inflammatory biomarkers and all-cause mortality as well as cardio-cerebrovascular disease (CCD) mortality among U.S. adults with diabetes. METHODS A cohort of 6412 U.S. adults aged 20 or older was followed from the start until December 31, 2019. Statistical models such as Cox proportional hazards model (Cox) and Kaplan-Meier (K-M) survival curves were employed to investigate the associations between the inflammatory biomarkers and all-cause mortality and CCD mortality. RESULTS After adjusting for confounding factors, the highest quartile of inflammatory biomarkers (NLR HR = 1.99; 95 % CI:1.54-2.57, MLR HR = 1.93; 95 % CI:1.46-2.54, SII HR = 1.49; 95 % CI:1.18-1.87, SIRI HR = 2.32; 95 % CI:1.81-2.96, nLPR HR = 2.05; 95 % CI:1.61-2.60, dNLR HR = 1.94; 95 % CI:1.51-2.49, AISI HR = 1.73; 95 % CI:1.4 1-2.12)) were positively associated with all-cause mortality compared to those in the lowest quartile. K-M survival curves indicated that participants with an inflammatory biomarker above a certain threshold had a higher risk of both all-cause mortality and CCD mortality (Log rank P < 0.05). CONCLUSION Some biomarkers such as NLR, MLR, SII, AISI, SIRI, and dNLR, are significantly associated with all-cause mortality and CCD mortality among U.S. adults with diabetes. The risk of both outcomes increased when the biomarkers surpassed a specific threshold.
Collapse
Affiliation(s)
- Jiaqi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Kaiyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tianyang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xinli Lin
- Department of Child and Adolescent Health, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| |
Collapse
|
5
|
Wu Q, Zhang W, Lu Y, Li H, Yang Y, Geng F, Liu J, Lin L, Pan Y, Li C. Association between periodontitis and inflammatory comorbidities: The common role of innate immune cells, underlying mechanisms and therapeutic targets. Int Immunopharmacol 2024; 128:111558. [PMID: 38266446 DOI: 10.1016/j.intimp.2024.111558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/26/2024]
Abstract
Periodontitis, which is related to various systemic diseases, is a chronic inflammatory disease caused by periodontal dysbiosis of the microbiota. Multiple factors can influence the interaction of periodontitis and associated inflammatory disorders, among which host immunity is an important contributor to this interaction. Innate immunity can be activated aberrantly because of the systemic inflammation induced by periodontitis. This aberrant activation not only exacerbates periodontal tissue damage but also impairs systemic health, triggering or aggravating inflammatory comorbidities. Therefore, innate immunity is a potential therapeutic target for periodontitis and associated inflammatory comorbidities. This review delineates analogous aberrations of innate immune cells in periodontitis and comorbid conditions such as atherosclerosis, diabetes, obesity, and rheumatoid arthritis. The mechanisms behind these changes in innate immune cells are discussed, including trained immunity and clonal hematopoiesis of indeterminate potential (CHIP), which can mediate the abnormal activation and myeloid-biased differentiation of hematopoietic stem and progenitor cells. Besides, the expansion of myeloid-derived suppressor cells (MDSCs), which have immunosuppressive and osteolytic effects on peripheral tissues, also contributes to the interaction between periodontitis and its inflammatory comorbidities. The potential treatment targets for relieving the risk of both periodontitis and systemic conditions are also elucidated, such as the modulation of innate immunity cells and mediators, the regulation of trained immunity and CHIP, as well as the inhibition of MDSCs' expansion.
Collapse
Affiliation(s)
- Qibing Wu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Weijia Zhang
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Yaqiong Lu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Hongxia Li
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Yaru Yang
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Fengxue Geng
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Jinwen Liu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Li Lin
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Yaping Pan
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Chen Li
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China.
| |
Collapse
|
6
|
Meng C, Liu K. Nonlinear association of the systemic immune-inflammatory index with mortality in diabetic patients. Front Endocrinol (Lausanne) 2024; 15:1334811. [PMID: 38414824 PMCID: PMC10898589 DOI: 10.3389/fendo.2024.1334811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/18/2024] [Indexed: 02/29/2024] Open
Abstract
Background It has been demonstrated that in diabetic patients, an elevated neutrophil-lymphocyte ratio (NLR) is independently connected with higher cardiovascular and all-cause mortality. It is unclear, however, if the systemic immune-inflammatory index (SII) and the mortality rate among diabetic patients are related. Investigating the linkage between SII and diabetes patients' risk of cardiovascular and all-cause death was the aim of the study. Methods 4972 diabetics who were chosen from six rounds of the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2016 were the study's participants. The optimal SII threshold with the highest correlation with survival outcomes was identified by applying the Maximum Selection Ranking Statistical Method (MSRSM). To assess the relationship between SII and cardiovascular and all-cause mortality in diabetics, subgroup analysis and Cox regression modeling were employed. Furthermore, smoothed curve fitting was utilized to determine the nonlinear relationship of them. Results Over the course of a median follow-up of 69 months (interquartile range [IQR], 54-123 months), 1,172 (23.6%) of the 4,972 diabetic patients passed away. These deaths included 332 (6.7%) cardiovascular deaths and 840 (16.9%) non-cardiovascular deaths. Individuals were categorized into higher (>983.5714) and lower (≤983.5714) SII groups according to MSRSM. In multi-variable adjusted models, subjects with higher SII had a significantly increased chance of dying from cardiovascular disease (HR 2.05; 95% confidence interval (CI):1.42,2.97) and from all causes (HR 1.60; 95% CI:1.22,1.99). Kplan-Meier curves showed similar results. Subgroup studies based on age, sex, BMI, drinking, smoking, and hypertension revealed that the connection maintained intact. The previously stated variables and SII did not significantly interact (p interaction > 0.05). In diabetic patients, smooth curve fitting revealed a nonlinear correlation between SII and mortality. Conclusion In diabetic patients, elevated SII is linked to higher cardiovascular and all-cause mortality.
Collapse
Affiliation(s)
| | - Kai Liu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|