Pain in Osteoporosis: From Pathophysiology to Therapeutic Approach

Catalano, Antonino; Martino, Gabriella; Morabito, Nunziata; Scarcella, C.; Gaudio, Agostino; Basile, Giorgio; Lasco, Antonino

doi:10.1007/s40266-017-0492-4

Cited by 74 publications

(43 citation statements)

References 68 publications

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“…Importantly, pain management requires a multidimensional strategies to improve quality of life in patients with osteoporosis. 44 Our study indicated that antioxidant intervention may be a feasible approach to treat chronic pain in patients with osteoporosis. However, further clinical studies are necessary to determine the therapeutic potential of antioxidants in osteoporotic pain.…”

Section: A B C D Ementioning

confidence: 70%

<p>Oxidative Stress Contributes to Hyperalgesia in Osteoporotic Mice</p>

Tu¹,

Wu²,

Huang³

et al. 2020

JPR

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Purpose: Chronic pain is one of the most common complications of postmenopausal osteoporosis. Since oxidative stress is involved in the pathogenesis of postmenopausal osteoporosis, we explored whether oxidative stress contributes to postmenopausal osteoporotic pain. Methods: Osteoporosis was induced in mice by ovariectomy (OVX). Pain-related behaviours were assessed by measuring sensitivity to mechanical, thermal and cold stimulation. The expression of pain-related transcripts, such acid-sensing ion channel 3 (ASIC3), transient receptor potential vanilloid 1 (TRPV1) and calcitonin gene-related peptide (CGRP), was evaluated. Plasma markers of oxidative stress were also measured. In addition, the effects of the reactive oxygen species scavenger phenyl N-tert-butylnitrone (PBN) on these parameters were assessed. Results: The OVX mice presented hyperalgesia, as demonstrated by decreased paw withdrawal thresholds to mechanical stimulation and withdrawal latencies to thermal and cold stimulation, along with upregulated expression of ASIC3, TRPV1 and CGRP in the dorsal root ganglia, spinal cord and thalamus tissue. OVX elevated the plasma levels of malondialdehyde (MDA) and advanced oxidation protein products (AOPPs). However, the administration of PBN alleviated these effects. Conclusion: Our results indicated that oxidative stress contributes to hyperalgesia in OVX mice. Enhanced oxidative stress may be associated with osteoporotic pain. Antioxidant treatment could help alleviate chronic pain in postmenopausal osteoporotic patients.

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Section: A B C D Ementioning

confidence: 70%

<p>Oxidative Stress Contributes to Hyperalgesia in Osteoporotic Mice</p>

Tu¹,

Wu²,

Huang³

et al. 2020

JPR

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“…Chronic diseases are largely represented among the general population, and their incidence is constantly increasing all over the world. It has been recognized that affective and emotional symptoms, such as depression and anxiety, respectively, could embody predictors of several chronic diseases (Conversano et al, 2015;Catalano et al, 2017Catalano et al, , 2018Martino et al, 2018aMartino et al, ,b, 2019bKelly et al, 2019;Marchi et al, 2019). Particularly, psychological factors may compromise patients' compliance and adherence, and this could increase mortality and mobility independently from many confounders (Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Going Beyond the Visible in Type 2 Diabetes Mellitus: Defense Mechanisms and Their Associations With Depression and Health-Related Quality of Life

et al. 2020

Self Cite

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Introduction: Clinical psychological features may impact a person's aptitude to deal with chronic diseases, leading to emotional distress, suffering, and a worse perceived quality of life (QoL). Chronic diseases are largely represented, and their incidence is constantly increasing all over the world. Type 2 Diabetes Mellitus (T2DM) is one of the most common chronic diseases and it is very difficult to manage, demanding long term self-management, which improves the perceived QoL. The aim of this study was to explore defense mechanisms, depression, QoL, time since diagnosis, and metabolic control in T2DM patients. Methods: 51 patients with T2DM were assessed through a psychodiagnostic battery: Beck Depression Inventory-II, the 36-Item Short Form Health Survey, including indexes of Physical and Mental Component Summary and the Defense Mechanisms Inventory. Times since DM diagnosis and glycated hemoglobin values were detected. Results: Participants were mainly female (62.74%), with a mean age of 66.1 years. T2DM time since diagnosis was 11.77 years (SD = 7.1). Mild depression was detected (with an overall score between 13 and 19). Projection was significantly associated with higher depression and with lower physical well-being; Principalization was negatively associated with depression and positively with both physical and mental well-being. Turning Against Self correlated positively with physical well-being and negatively with mental well-being. Reversal was associated with lower depression and higher mental well-being. A negative high correlation emerged between depression and mental wellbeing. Finally, a significant relationship was found between Projection and higher time since diagnosis (r = 0.31, p < 0.05).

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“…In order to plan and monitor treatments, an increasing number of studies have tried to identify the individuals' features and experience related to the illness across a variety of longterm chronic conditions such as osteoporosis (14), diabetes (15), chronic pain (16), dementia (17), and FMS (18) using comprehensive relevant questionnaires or outcomes measures provided by the medico-clinical research (19).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia

et al. 2020

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Here, we report an investigation on the accuracy of the Toronto Alexithymia Scale, a measure to assess alexithymia, a multidimensional construct often associate to fibromyalgia. Two groups of participants, patients with fibromyalgia (n = 38), healthy controls (n = 38) were administered the Toronto Alexithymia Scale and background tests. Machine learning models achieved an overall accuracy higher than 80% in detecting both patients with fibromyalgia and healthy controls. The parameter which alone has demonstrated maximum efficiency in classifying the single subject within the two groups has been the item 3 of the alexithymia scale. The analysis of the most informative features, based on all scales administered, revealed that item 3 and 13 of the alexithymia questionnaire and the visual analog scale scores were the most informative attributes in correctly classifying participants (accuracy above 85%). An additional analyses using only the alexithymia scale subset of items and the visual analog scale scores has shown that the predictors which efficiently classified patients with fibromyalgia and controls were the item 3 and 7 (accuracy = 85.53%). Our findings suggest that machine learning models analysis based on the Toronto Alexithymia Scale subset of items scores accurately distinguish patients with fibromyalgia from healthy controls.

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Pain in Osteoporosis: From Pathophysiology to Therapeutic Approach

Cited by 74 publications

References 68 publications

<p>Oxidative Stress Contributes to Hyperalgesia in Osteoporotic Mice</p>

<p>Oxidative Stress Contributes to Hyperalgesia in Osteoporotic Mice</p>

Going Beyond the Visible in Type 2 Diabetes Mellitus: Defense Mechanisms and Their Associations With Depression and Health-Related Quality of Life

Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia

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