Vertebral compression fractures (VCFs) are prevalent in patients with osteoporosis and pose significant health risks. Although chronic low-grade inflammation plays a crucial role in the pathogenesis of osteoporosis, the relationship between various inflammatory indices and the occurrence of fractures remains unclear.
This study aims to evaluate the correlation between multiple inflammatory indices, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI), and VCFs, to explore the significance of these indices in clinical application.
Clinical data of 310 patients diagnosed with osteoporosis from November 2020 to June 2023 in the hospital were collected. The general conditions between fracture and non-fracture groups were described. Spearman analysis and binary logistic regression analysis were used to assess the relationship between inflammatory indices and VCFs. Receiver operating characteristic curve was used to evaluate the diagnostic efficacy of these inflammatory indices for VCFs.
VCFs were diagnosed in 43.55 % of patients with osteoporosis. NLR(ρ = 0.169, P=0.003), MLR(ρ = 0.293, P<0.001), SII(ρ = 0.126, P=0.027), and SIRI(ρ = 0.273, P<0.001) were positively correlated with the occurrence of VCFs. NLR(OR=1.480, 95 %CI 1.114 ∼ 1.966, P=0.007), MLR(multiplied by 100, OR=1.048, 95 %CI 1.011 ∼ 1.087, P=0.011), and SIRI(OR=3.327, 95 %CI 1.510 ∼ 7.330, P=0.003) were independent risk factors for VCFs, hip bone mineral density (BMD) (OR=0.011, 95 %CI 0.001 ∼ 0.151, P=0.001) was an independent protective factor for VCFs. MLR(AUC 0.671, 95 % CI=0.610 ∼ 0.732, P <0.001) had relatively high clinical diagnostic efficacy.
The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic inflammatory response index (SIRI) are independent risk factors for vertebral compression fractures.
The study aims were to determine autoantibodies associated with type 1 diabetes (T1D), celiac disease (CD) and autoimmune thyroid disease (AITD) in individuals living with type 2 diabetes (T2D) compared to T1D and matched controls.
Individuals with T1D and T2D were randomly identified in health-care registers. Blood was collected through home-capillary sampling and autoantibodies associated with either T1D against glutamic acid decarboxylase (GADA), insulin (IAA), insulinoma antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A), CD against tissue transglutaminase (tTGA) or AITD against thyroid peroxidase (TPOA) were determined in an automated, multiplex Antibody Detection by Agglutination-PCR (ADAP) assay.
GADA were detected in 46 % (88/191) of T1D and increased to 6.2 % (23/372) in T2D compared to 2.6 % (7/259) of controls (p = 0.0367). tTGA was low (1.1–2.6 %) and not different in between the study cohorts, nonetheless, in T1D tTGA was associated to islet autoantibodies. TPOA was more frequent in T1D, 27.1 % (53/191), compared to either T2D, 14.8 % (55/372; p = 0.0002) or controls, 14.3 % (37/259) (p = 0.0004). Overall, TPOA was more frequent in GADA positive (34.8 %; 8/23) than negative (13.5 %; 47/349; p = 0.0053) T2D individuals.
It’s suggested that analyzing GADA and TPOA may refine the autoimmune landscape in individuals clinically classified as T2D.
In recent years, the prevalence of diabetic wounds has significantly increased, posing a substantial medical challenge due to their propensity for infection and delayed healing. These wounds not only increase mortality rates but also lead to amputations and severe mobility issues. To address this, advancements in bioactive molecules such as genes, growth factors, proteins, peptides, stem cells, and exosomes into targeted gene therapies have emerged as a preferred strategy among researchers. Additionally, the integration of photothermal therapy (PTT), nucleic acid, and gene therapy, along with 3D printing technology and the layer-by-layer (LBL) self-assembly approach, shows promise in diabetic wound treatment. Effective delivery of small interfering RNA (siRNA) relies on gene vectors. This review provides an in-depth exploration of the pathophysiological characteristics observed in diabetic wounds, encompassing diminished angiogenesis, heightened levels of reactive oxygen species, and impaired immune function. It further examines advancements in nucleic acid delivery, targeted gene therapy, advanced drug delivery systems, layer-by-layer (LBL) techniques, negative pressure wound therapy (NPWT), 3D printing, hyperbaric oxygen therapy, and ongoing clinical trials. Through the integration of recent research insights, this review presents innovative strategies aimed at augmenting the multifaceted management of diabetic wounds, thus paving the way for enhanced therapeutic outcomes in the future.