ABO Blood Group and Prevalence of Osteoporosis and Osteopenia in the Elderly Population: An Amirkola Health and Ageing Project (AHAP)-Based Study

Mechanism of traditional Chinese medicine in elderly diabetes mellitus and a systematic review of its clinical application

Objective: Affected by aging, the elderly diabetes patients have many pathological characteristics different from the young people, including more complications, vascular aging, cognitive impairment, osteoporosis, and sarcopenia. This article will explore their pathogenesis and the mechanism of Traditional Chinese medicine (TCM) intervention, and use the method of systematic review to evaluate the clinical application of TCM in elderly diabetes. Method: Searching for randomized controlled trials (RCTs) published from January 2000 to November 2023 in the following databases: Web of Science, Pubmed, Embase, Cochrane Library, Sinomed, China National Knowledge Internet, Wanfang and VIP. They were evaluated by three subgroups of Traditional Chinese Prescription, Traditional Chinese patent medicines and Traditional Chinese medicine extracts for their common prescriptions, drugs, adverse reactions and the quality of them. Results and Conclusion: TCM has the advantages of multi-target and synergistic treatment in the treatment of elderly diabetes. However, current clinical researches have shortcomings including the inclusion of age criteria and diagnosis of subjects are unclear, imprecise research design, non-standard intervention measures, and its safety needs further exploration. In the future, the diagnosis of elderly people with diabetes needs to be further clarified. Traditional Chinese patent medicines included in the pharmacopoeia can be used to conduct more rigorous RCTs, and then gradually standardize the traditional Chinese medicine prescriptions and traditional Chinese medicine extracts, providing higher level evidence for the treatment of elderly diabetes with traditional Chinese medicine.

Development and validation of a risk prediction model for osteoporosis in elderly patients with type 2 diabetes mellitus: a retrospective and multicenter study

BACKGROUND

This study aimed to construct a risk prediction model to estimate the odds of osteoporosis (OP) in elderly patients with type 2 diabetes mellitus (T2DM) and evaluate its prediction efficiency.

METHODS

This study included 21,070 elderly patients with T2DM who were hospitalized at six tertiary hospitals in Southwest China between 2012 and 2022. Univariate logistic regression analysis was used to screen for potential influencing factors of OP and least absolute shrinkage. Further, selection operator regression (LASSO) and multivariate logistic regression analyses were performed to select variables for developing a novel predictive model. The area under the receiver operating characteristic curve (AUROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the performance and clinical utility of the model.

RESULTS

The incidence of OP in elderly patients with T2DM was 7.01% (1,476/21,070). Age, sex, hypertension, coronary heart disease, cerebral infarction, hyperlipidemia, and surgical history were the influencing factors. The seven-variable model displayed an AUROC of 0.713 (95% confidence interval [CI]:0.697-0.730) in the training set, 0.716 (95% CI: 0.691-0.740) in the internal validation set, and 0.694 (95% CI: 0.653-0.735) in the external validation set. The optimal decision probability cut-off value was 0.075. The calibration curve (bootstrap = 1,000) showed good calibration. In addition, the DCA and CIC demonstrated good clinical practicality. An operating interface on a webpage ( https://juntaotan.shinyapps.io/osteoporosis/ ) was developed to provide convenient access for users.

CONCLUSIONS

This study constructed a highly accurate model to predict OP in elderly patients with T2DM. This model incorporates demographic characteristics and clinical risk factors and may be easily used to facilitate individualized prediction.

Antioxidant and anti-aging activities of Laminaria japonica polysaccharide in Caenorhabditis elegans based on metabonomic analysis

In this study, Laminaria japonica polysaccharide (LJP) was measured in vitro against three antioxidant indicators: DPPH, ABTS, and hydroxyl. In vivo, LJP investigated thermal tolerance, H2O2-induced oxidative stress tolerance, and lipofuscin in Caenorhabditis elegans (C. elegans). Following that, after LJP treatment, the effects and underlying mechanisms were investigated at the mRNA and metabolite levels. We discovered the free radical scavenging activity of LJP. The thermal tolerance of C. elegans improved significantly, lowering levels of malondialdehyde, lipofuscin, and reactive oxygen species. Upregulation of Glp-1, Daf-16, Skn-1, and Sod-3 expression and downregulation of Age-1 and Daf-2 expression increased the ability to resist oxidative stress. Metabolomic analysis revealed that LJP promoted alanine, aspartate, and glutamate metabolism, the TCA cycle, butanoate metabolism, and the FOXO signaling pathway expression, resulting in significant changes in (R)-3-hydroxybutyric acid, palmitic acid, L-glutamic acid, L-malic acid, and oleic acid. The present study shows that LJP, as a functional food, has the potential to boost antioxidant capacity and delay aging.

The global prevalence of osteoporosis in the world: a comprehensive systematic review and meta-analysis

BACKGROUND

Osteoporosis affects all sections of society, including families with people affected by osteoporosis, government agencies and medical institutes in various fields. For example, it involves the patient and his/her family members, and government agencies in terms of the cost of treatment and medical care. Providing a comprehensive picture of the prevalence of osteoporosis globally is important for health policymakers to make appropriate decisions. Therefore, this study was conducted to investigate the prevalence of osteoporosis worldwide.

METHODS

A systematic review and meta-analysis were conducted in accordance with the PRISMA criteria. The PubMed, Science Direct, Web of Science, Scopus, Magiran, and Google Scholar databases were searched with no lower time limit up till 26 August 2020. The heterogeneity of the studies was measured using the I2 test, and the publication bias was assessed by the Begg and Mazumdar's test at the significance level of 0.1.

RESULTS

After following the systematic review processes, 86 studies were selected for meta-analysis. The sample size of the study was 103,334,579 people in the age range of 15-105 years. Using meta-analysis, the prevalence of osteoporosis in the world was reported to be 18.3 (95% CI 16.2-20.7). Based on 70 studies and sample size of 800,457 women, and heterogenicity I2: 99.8, the prevalence of osteoporosis in women of the world was reported to be 23.1 (95% CI 19.8-26.9), while the prevalence of osteoporosis among men of the world was found to be 11.7 (95% CI 9.6-14.1 which was based on 40 studies and sample size of 453,964 men.). The highest prevalence of osteoporosis was reported in Africa with 39.5% (95% CI 22.3-59.7) and a sample size of 2989 people with the age range 18-95 years.

CONCLUSION

According to the medical, economic, and social burden of osteoporosis, providing a robust and comprehensive estimate of the prevalence of osteoporosis in the world can facilitate decisions in health system planning and policymaking, including an overview of the current and outlook for the future; provide the necessary facilities for the treatment of people with osteoporosis; reduce the severe risks that lead to death by preventing fractures; and, finally, monitor the overall state of osteoporosis in the world. This study is the first to report a structured review and meta-analysis of the prevalence of osteoporosis worldwide.

Cohort Profile Update: The Amirkola Health and Ageing Project (AHAP)

The original cohort study of AHAP started in 2011 on 1616 elderly residents of Amirkola, northern part of Iran near the Caspian Sea. The main goal of this study was to comprehensively evaluate the health of the elderly in the region with the emphasis on chronic diseases such as osteoporosis. The first cohort profile was published in the International Journal of Epidemiology in 2014. The phase 1 AHAP showed the elevated level of some diseases and conditions including osteoporosis, metabolic syndrome, obesity, vision problems and relatively low levels of oral health. Therefore, the second phase of this cohort started with more complete population coverage in 2016, not only to collect and record the information based on previous protocol, but also consider new areas such as nutritional status, complete eye and dental examinations and health assessment on the basis of Iranian Traditional Medicine. The new aspect of this project is to conduct clinical and laboratory examinations at the health center to extend more facilities to the elderly. In addition to serum and DNA, samples of saliva, hair and nails are collected and kept under standard conditions in the biobank of this cohort. Researchers can apply for access to data or suggest a collaborative study by submitting the proposal to AHAP committee.