Urinary symptoms and female sexual dysfunction in women with type 1 diabetes: the role of depression.

BACKGROUND: Some reports suggest that women with type 1 diabetes (T1D) have a greater burden of female sexual dysfunction (FSD) than women without T1D, but the etiology of this elevated risk is poorly understood. AIM: To examine the associations between FSD and urinary incontinence/lower urinary tract symptoms (UI/LUTS) in women with T1D and to evaluate how depression may mediate these relationships. METHODS: LUTS and UI symptoms were assessed in women with T1D who participated in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study. Multivariable logistic regression models estimated associations between FSD and UI/LUTS (overall and specific domains) and the impact of depression on these associations. OUTCOMES: FSD was measured with the Female Sexual Function Index-Reduced. RESULTS: In total, 499 self-reported sexually active women completed validated assessments of sexual and urinary function (mean ± SD age, 47.7 ± 7.6 years; T1D duration, 23.4 ± 5.15 years). FSD was reported in 232 (46%) responders. The frequency of UI and LUTS was 125 (25.1%) and 96 (19.2%), respectively. Neither UI nor its subcategories (urge, stress) were associated with FSD. Although LUTS (odds ratio [OR], 1.75; 95% CI, 1.09-2.77) and its symptoms of urgency (OR, 1.99; 95% CI, 1.09-3.61) and incomplete emptying (OR, 2.44; 95% CI, 1.23-4.85) were associated with FSD, these associations were attenuated following adjustment for depression and antidepressant medication use. Depression indicators were independently associated with FSD overall and across domains. CLINICAL IMPLICATIONS: The complex interplay of voiding dysfunction, mental health, and sexual function warrants further investigation to understand the potential implications for patient assessment, goal setting, treatment, and care planning. STRENGTHS AND LIMITATIONS: Data are from a prospective study of individuals with T1D. These results are unable to explore cause-and-effect relationships among LUTS, UI, depression, and FSD. The sample may not be representative of the general population of women with T1D. Because participants in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study are mostly White, generalizing the findings to other races and to type 2 diabetes may not be appropriate. While exclusion of sexually inactive women likely biases our findings toward the null, this design element permitted study of LUTS and UI in relation to aspects of FSD, the primary objective of this study. CONCLUSIONS: The significant associations between LUTS/UI and FSD among middle-aged women with T1D were greatly attenuated when depression was considered a mediating factor.

Sleep- and time of day-linked RNA transcript expression in wild-type and IL1 receptor accessory protein-null mice.

Sleep regulation involves interleukin-1ß (IL1) family members, TNF, and circadian clock genes. Previously, we characterized spontaneous sleep and sleep after 8 h of sleep deprivation (SD) ending at zeitgeber time (ZT)4 and ZT16 in wild-type (WT) and IL1 receptor accessory protein (AcP)- and brain-specific AcP (AcPb)-knockout (KO) mice. Here, we applied quantitative reverse transcriptase polymerase chain reaction and Spearman gene pair expression correlation methods to characterize IL1, IL1 receptor 1 (IL1R1), AcP, AcPb, Period 1 (Per1), Clock, adenosine deaminase (Ada), peptidoglycan recognition protein 1 (Pglyrp1), and TNF mRNA expressions under conditions with distinct sleep phenotypes. In WT mice, IL1, IL1R1, AcP, Ada, and Clock mRNAs were higher at ZT4 (mid-sleep period) than at ZT16. mRNA expressions differed substantially in AcP and AcPb KO mice at those times. After SD ending at ZT4, only WT mice had a non-rapid eye movement sleep (NREMS) rebound, and AcPb and IL1R1 mRNA increases were unique to WT mice. In AcPb KO mice, which have spontaneous high EEG slow wave power, AcP and Pglyrp1 mRNAs were elevated relative to WT mice at ZT4. At ZT4, the AcPb KO - WT Spearman correlation difference networks showed high positive correlations between IL1R1 and IL1, Per1, and Clock and high negative correlations between TNF and Pglyrp1 and Ada. At ZT16, the WT mice gene pair expression network was mostly negative, whereas in AcP KO mice, which have substantially more rapid eye movement sleep than WT mice, it was all positive. We conclude that gene pair expression correlations depend on the presence of AcP and AcPb.NEW & NOTEWORTHY Spearman gene pair expression correlations depend upon the presence or absence of interleukin-1 receptor accessory protein and upon sleep phenotype.

Interleukin-1 receptor accessory proteins are required for normal homeostatic responses to sleep deprivation.

Interleukin-1ß (IL1) is a sleep regulatory substance. The IL1/IL1 type 1 receptor complex requires a receptor accessory protein (AcP) to signal. There are three isoforms of AcP. In the current experiments, mice lacking a neuron-specific isoform, called AcPb knockout (AcPb KO), or mice lacking AcP + AcPb isoforms (AcP KO) or wild-type (WT) mice were used. Spontaneous sleep and sleep responses to sleep deprivation (SD) between zeitgeber time (ZT) 20-ZT4 and ZT8-ZT16 were characterized. Furthermore, somatosensory cortical protein extracts were examined for phosphorylated (p) proto-oncogene tyrosine-protein kinase sarcoma (Src) and p38MAPK levels at ZT4 and ZT16 and after SD. Spontaneous sleep was similar in the three strains, except rapid eye movement sleep (REMS) duration between ZT12-ZT16 was greater in AcP KO than WT mice. After SD at ZT4, only WT mice had non-REMS (NREMS) rebounds. All mouse strains lacked an NREMS rebound after SD at ZT16. All strains after both SD periods had REMS rebounds. AcPb KO mice, but not AcP KO mice, had greater EEG delta wave (0.5-4 Hz) power during NREMS than WT mice. p-Src was very low at ZT16 but high at ZT4, whereas p-p38MAPK was low at ZT4 and high at ZT16. p-p38MAPK levels were not sensitive to SD. In contrast, p-Src levels were less after SD at the P = 0.08 level of significance in the strains lacking AcPb. We conclude that AcPb is required for NREMS responses to sleep loss, but not for SD-induced EEG delta wave or REMS responses.NEW & NOTEWORTHY Interleukin-1ß (IL1), a well-characterized sleep regulatory substance, requires an IL1 receptor accessory protein (AcP); one of its isoforms is neuron-specific (called AcPb). We showed that in mice, AcPb is required for nonrapid eye movement sleep responses following 8 h of sleep loss ending 4 h after daybreak but did not affect rapid eye movement sleep rebound. Sleep loss reduced phosphorylation of proto-oncogene tyrosine-protein kinase sarcoma but not of the less sensitive p38MAPK, downstream IL1 signaling molecules.

Tumor necrosis factor alpha in sleep regulation.

This review details tumor necrosis factor alpha (TNF) biology and its role in sleep, and describes how TNF medications influence sleep/wake activity. Substantial evidence from healthy young animals indicates acute enhancement or inhibition of endogenous brain TNF respectively promotes and inhibits sleep. In contrast, the role of TNF in sleep in most human studies involves pathological conditions associated with chronic elevations of systemic TNF and disrupted sleep. Normalization of TNF levels in such patients improves sleep. A few studies involving normal healthy humans and their TNF levels and sleep are consistent with the animal studies but are necessarily more limited in scope. TNF can act on established sleep regulatory circuits to promote sleep and on the cortex within small networks, such as cortical columns, to induce sleep-like states. TNF affects multiple synaptic functions, e.g., its role in synaptic scaling is firmly established. The TNF-plasticity actions, like its role in sleep, can be local network events suggesting that sleep and plasticity share biochemical regulatory mechanisms and thus may be inseparable from each other. We conclude that TNF is involved in sleep regulation acting within an extensive tightly orchestrated biochemical network to niche-adapt sleep in health and disease.