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Correlation of Osteoporosis in Patients With Newly Diagnosed Type 2 Diabetes: A Retrospective Study in Chinese Population.

ABSTRACT: This study aimed to explore the risk factors attributed to osteoporosis in newly type 2 diabetes mellitus (T2DM) patients. This study aimed to recruit 244 T2DM patients and 218 non-diabetic controls. We collected demographic characteristics, medical history, bone mineral density and biomarkers including bone specific alkaline phosphatase (BALP), osteocalcin, N-terminal peptide of type I procollagen (P1NP), tartrate-resistant acid phosphatase 5b (TRCAP-5b), β-Cross Laps of type I collagen-containing cross-linked C-telopeptide (β-CTX), 25-hydroxyvitamin D, parathyroid hormone were recorded or detected. Bone mineral density (BMD) was our primary outcome. Based on the result of BMD, we divided both the control group and T2DM group into three subgroups: normal bone mass, osteopenia and osteoporosis. In control group, we found age, sex, menopausal status, BMI, P1NP, BALP, TRACP-5b, osteocalcin, and corrected serum calcium are differential among three subgroups. In T2DM group, we found age, sex, menopausal status, drinking status, BMI, HbA1c, TRACP-5b and OC were differential among three subgroups. In T2DM and control groups, age, female, postmenopausal status, BALP, TRACP-5b and osteocalcin were positively correlated while BMI was negatively correlated with osteoporosis. In control group, β-CTX was positively correlated with osteoporosis. In T2DM group, HbA1c and corrected serum calcium concentration were positively correlated with osteoporosis. After further adjustment of age, BMI in male, TRACP-5b was positively correlated with the risk of osteoporosis in newly diagnosed T2DM. After adjusted of age, BMI and menopausal status in female, OC was positively correlated with the risk of osteoporosis in newly diagnosed T2DM and controls. In female T2DM, BALP and P1NP were positively correlated with the risk of osteoporosis. In conclusion, age, BMI and menopausal status are common risk factors for osteoporosis in diabetic and non-diabetic patients, however TRACP-5b, BALP and osteocalcin are special risk factors for osteoporosis in newly diagnosed T2DM patients but not non-diabetic patients, which may be applied to identify osteoporosis risk in T2DM patients, but this result needs to be proven with fracture data.

SUBMITTER: Wen Y

PROVIDER: S-EPMC8160464 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Study backgroundIncreasing prevalence of type 2 diabetes has shifted the focus of world from its management to prevention. Life style modifications programs related to diabetes prevention are found to delay the progress of prediabetes into diabetes. Reaching out to community with diabetes prevention program however is still a challenge to meet.ObjectiveOf the study: This study proposed to retrospectively screen the presence of prediabetes symptoms depicted in Ayurveda literature in a newly diagnosed diabetic population and to compare this prevalence with non-diabetic and healthy population. The idea is to put weightage upon prediabetes symptoms as a disease predictor if these are available early in the course of the disease.Material and methodsA questionnaire based upon detailed literature survey of three Ayurveda classics from the subject area of prameha (identical to diabetes) identified 22 features under the class of prediabetes. A questionnaire was developed to find the presence of these features in selected diabetic population retrospectively before the onset of diabetes. 141 newly diagnosed diabetics were selected on the basis of a defined inclusion and exclusion criteria and surveyed for chronological presence of prediabetes features as identified through the literature search and validated through a validation process. This feature prevalence was further compared with non-diabetic and healthy population.ResultsA significant difference (p < 0.001) was observed in specific symptom occurrence in diabetic population comparing to non-diabetic and healthy control for at least 11 of the selected items.ConclusionThe study observes that few prediabetes features show their clear retrospective presence in diabetic population comparing to non-diabetic and healthy population. This observation can help formulating a risk calculator for future diabetes on the basis of available pre diabetic features in an individual. A prospective cohort study however would be essential to prove any such realistic relation between prediabetes symptoms and future diabetes development among high risk individuals.

Project description:AimThere are increasing evidence demonstrating that neutrophil-mediated inflammation plays a role in the etiology of type 2 diabetes. However, the molecular mechanisms by which neutrophils contribute to type 2 diabetes remain largely unknown. The aim of the present work was to identify possible changes in circulating neutrophils to better elucidate neutrophil involvement in human type 2 diabetes.MethodsPatients newly diagnosed with type 2 diabetes (n = 5) and age- and sex-matched healthy controls (n = 5) were recruited. Neutrophils were purified from type 2 diabetes patients and controls, and RNA sequencing (RNA-seq) was used for comprehensive transcriptome analysis. Differentially expressed genes (DEGs) were screened, and Gene Ontology (GO) and KEGG pathway enrichment analyses were performed. Real-time polymerase chain reaction (qPCR) was used for validation in external samples of type 2 diabetes patients (n = 8) and healthy controls (n = 8).ResultsGene expression analysis showed that, compared with neutrophils from healthy controls, there were 1990 upregulated DEGs and 1314 downregulated DEGs in neutrophils from type 2 diabetes patients. GO analysis demonstrated that the DEGs were mainly involved in myeloid leukocyte activation, T cell activation, adaptive immunity, and cytokine production. The top 20 enriched KEGG pathways included the cytokine-cytokine receptor interaction pathway, NF-?B signaling pathway, cell adhesion molecules, and chemokine signaling pathway. Furthermore, qPCR of genes related to neutrophil activation revealed that the expression of SELL, SELP, CXCR1, and S100A8 was significantly increased in neutrophils from type 2 diabetes patients compared with that in neutrophils from controls.ConclusionsOur study reveals an abnormal activation of circulating neutrophils at the transcriptome level in type 2 diabetes patients. These findings suggest a potential involvement of neutrophil dysfunction in the pathologic process of type 2 diabetes and provide insight into potential therapeutic targets for type 2 diabetes.

Dataset Information

Correlation of Osteoporosis in Patients With Newly Diagnosed Type 2 Diabetes: A Retrospective Study in Chinese Population.

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