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	<title>urodynamics &#8211; Science</title>
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	<title>urodynamics &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>How Metabolic Syndrome Rewires the Bladder: Animal Models Reveal Key Mechanisms</title>
		<link>https://scienmag.com/how-metabolic-syndrome-rewires-the-bladder-animal-models-reveal-key-mechanisms/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 20:42:07 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[animal models]]></category>
		<category><![CDATA[animal models of urinary tract disorders]]></category>
		<category><![CDATA[biological pathways of urinary tract damage]]></category>
		<category><![CDATA[bladder ischaemia]]></category>
		<category><![CDATA[detrusor]]></category>
		<category><![CDATA[diabetes and lower urinary tract health]]></category>
		<category><![CDATA[diabetic bladder dysfunction]]></category>
		<category><![CDATA[dyslipidaemia]]></category>
		<category><![CDATA[dyslipidemia impact on bladder]]></category>
		<category><![CDATA[epidemiology of metabolic syndrome and urinary symptoms]]></category>
		<category><![CDATA[hypertension]]></category>
		<category><![CDATA[hypertension effects on urinary function]]></category>
		<category><![CDATA[insulin resistance]]></category>
		<category><![CDATA[lower urinary tract dysfunction]]></category>
		<category><![CDATA[mechanisms of bladder damage in metabolic syndrome]]></category>
		<category><![CDATA[metabolic syndrome]]></category>
		<category><![CDATA[metabolic syndrome and bladder dysfunction]]></category>
		<category><![CDATA[obesity]]></category>
		<category><![CDATA[obesity and overactive bladder]]></category>
		<category><![CDATA[organoids]]></category>
		<category><![CDATA[preclinical research in urology]]></category>
		<category><![CDATA[role of animal models in urological disease research]]></category>
		<category><![CDATA[translation of animal studies to human therapies]]></category>
		<category><![CDATA[urodynamics]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=242347</guid>

					<description><![CDATA[A new review in Nature Reviews Urology synthesizes how animal models of diabetes, obesity, dyslipidaemia and hypertension reveal the mechanisms linking metabolic syndrome to bladder dysfunction.]]></description>
										<content:encoded><![CDATA[<p>Lower urinary tract dysfunction, a cluster of conditions that includes overactive bladder, poor emptying and incontinence, has long been treated as a problem of aging alone. A comprehensive review published in Nature Reviews Urology now draws together the evidence from decades of preclinical research showing that metabolic syndrome, the dangerous combination of obesity, diabetes, dyslipidaemia and hypertension that affects hundreds of millions of people worldwide, is a major and mechanistically distinct driver of bladder dysfunction. The review, led by Lysanne Campeau and colleagues at the Lady Davis Institute and McGill University in Montreal, maps how each metabolic component damages the lower urinary tract through separate but overlapping biological pathways, and it critically evaluates the animal models scientists rely on to study these processes.</p>
<p>The clinical motivation is substantial. Epidemiological studies have linked metabolic syndrome to lower urinary tract symptoms in both men and women, to benign prostatic hyperplasia, and to overactive bladder, with the burden rising in parallel with the global obesity epidemic. Yet translating those associations into therapies requires mechanistic understanding, and that is precisely where animal models earn their keep. By isolating individual components of metabolic syndrome, researchers can dissect cause and effect in ways impossible in human cohorts, where obesity, insulin resistance and vascular disease almost always coexist.</p>
<p>The most extensively characterized models are those of diabetes. Streptozotocin-induced rodents, in which the insulin-producing beta cells are chemically destroyed, have revealed a striking biphasic progression of diabetic bladder dysfunction. In the early compensated phase, the detrusor muscle becomes hyperactive and hypertrophied, driven by polyuria and hyperglycaemia-induced oxidative stress. With time, the bladder decompensates: neural degeneration, fibrosis, apoptosis and falling levels of nerve growth factor in the bladder and lumbosacral dorsal root ganglia lead to an underactive, poorly contracting organ that empties incompletely. This transition from storage urgency to retention mirrors what clinicians observe in diabetic cystopathy, and studies antagonizing proneurotrophin signalling through the p75NTR receptor have even shown that the remodelling can be partially reversed.</p>
<p>Chemical models, however, do not capture the slow, polygenic nature of human type 2 diabetes. For that, researchers turn to strains such as the TallyHo mouse, the KK-Ay mouse, the Otsuka Long-Evans Tokushima Fatty rat and the Goto-Kakizaki rat, all of which develop spontaneous hyperglycaemia with varying degrees of obesity. Work in these polygenic models has confirmed the time-dependent shift from detrusor overactivity to underactivity and has highlighted the contribution of insulin resistance itself: insulin normally relaxes the bladder via a PI3K/AKT/eNOS pathway in the urothelium, and when that signalling becomes resistant, overactivity follows. Fructose-fed rats, which model dietary insulin resistance, have been particularly valuable here, and drugs such as tadalafil that restore mucosal insulin signalling have ameliorated bladder overactivity in these animals.</p>
<p>Obesity contributes to lower urinary tract symptoms through routes that go beyond diabetes. Leptin-deficient ob/ob mice and leptin-receptor-deficient db/db mice develop prostate enlargement and urethral changes that exacerbate voiding symptoms, while increased intra-abdominal pressure from visceral fat mechanically stresses the pelvic floor. In female Zucker fatty rats, impaired contractility of the circular striated urethral sphincter contributes to stress urinary incontinence, a finding that parallels clinical data from weight-loss trials showing symptom improvement after bariatric intervention. Hormonal shifts add another layer: adipose tissue converts androgens to oestrogens, and the resulting altered oestrogen-to-testosterone ratio has been implicated in prostate inflammation and fibrosis in obese men and in corresponding animal models.</p>
<p>Dyslipidaemia and vascular disease supply a third mechanism: chronic ischaemia. Apolipoprotein E knockout mice, which develop systemic atherosclerosis, exhibit bladder remodelling and detrusor overactivity driven by reduced blood flow, oxidative stress and proinflammatory cytokines. Rabbit and rat models of atherosclerosis-induced bladder ischaemia show fibrosis and loss of compliance, and high-fat diets have been shown to decrease mitochondrial respiration in detrusor muscle while increasing nerve-mediated contractions. A growing body of work also implicates succinate, a metabolite that accumulates in metabolic syndrome, as a signalling molecule that directly impairs bladder function through its receptor SUCNR1, offering a concrete biochemical link between disordered metabolism and urinary symptoms.</p>
<p>Hypertension, the fourth pillar of metabolic syndrome, acts largely through the renin-angiotensin system. Spontaneously hypertensive rats and Dahl salt-sensitive rats develop storage dysfunction and, with aging, detrusor underactivity, accompanied by reduced bladder blood flow and elevated oxidative stress. Angiotensin II type 1 receptor blockers such as olmesartan and losartan improve urinary function in these animals by restoring perfusion and reducing oxidative damage, findings consistent with clinical observations that hypertensive patients treated with angiotensin receptor blockers report fewer lower urinary tract symptoms. Circadian disruption of bladder clock genes in hypertensive rats may further explain nocturia, one of the most bothersome symptoms in metabolic patients.</p>
<p>The review also highlights less obvious contributors. Early-life stress models show that adverse experiences in youth promote visceral adiposity and bladder hypersensitivity in adulthood, connecting psychological stress, obesity and urinary dysfunction through shared neuroendocrine pathways. Sex differences emerge repeatedly: urodynamic studies in rhesus macaques reveal sexual dimorphism in detrusor function, and aged primates with metabolic syndrome develop detrusor underactivity, providing a translational bridge that rodent studies cannot always offer. Notably, no single animal model reproduces the complete human metabolic syndrome phenotype, a limitation the authors emphasize throughout.</p>
<p>Methodological caveats also temper enthusiasm. Standard urodynamic testing in rodents uses non-physiologically rapid bladder filling rates, which can exaggerate afferent signalling and distort storage phenotypes, and interspecies differences in bladder anatomy, innervation and metabolism complicate extrapolation to humans. Substrain differences in response to high-fat diets further muddy comparisons between laboratories. These constraints help explain why promising preclinical findings have not always translated into effective treatments for metabolic bladder dysfunction.</p>
<p>The path forward, the authors argue, lies in integration. Multi-omics approaches applied to model tissues are already identifying dysregulated protein subnetworks and metabolic signatures in the diabetic bladder, while human pluripotent stem cell-derived urothelial organoids and patient-derived urinoids offer platforms for validating mechanisms and testing biomarkers without species barriers. Combining longitudinal monitoring in animal models with human-relevant in vitro systems could enable personalized therapies tailored to a patient&#8217;s specific metabolic profile, though ethical challenges surrounding clinical translation remain. For a condition that erodes quality of life on a massive scale, the humble laboratory mouse and its successors may finally be pointing the way to treatments that address the metabolic roots of urinary dysfunction rather than merely its symptoms.</p>
<p><strong>Subject of Research:</strong> Preclinical animal models of metabolic syndrome-associated lower urinary tract dysfunction</p>
<p><strong>Article Title:</strong> Preclinical animal models of lower urinary tract dysfunction associated with metabolic syndrome</p>
<p><strong>Article References:</strong> Covarrubias, C., Sirmakesyan, S., Hamouda, A., Lasri, S., AlAmeeri, A., Saint-Vil, D.-L., Cammisotto, P. G., &amp; Campeau, L. (2026). Preclinical animal models of lower urinary tract dysfunction associated with metabolic syndrome. <em>Nature Reviews Urology</em>. <a href="https://doi.org/10.1038/s41585-026-01188-x" rel="noopener noreferrer">https://doi.org/10.1038/s41585-026-01188-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41585-026-01188-x" rel="noopener noreferrer">10.1038/s41585-026-01188-x</a></p>
<p><strong>Keywords:</strong> metabolic syndrome, lower urinary tract dysfunction, diabetic bladder dysfunction, obesity, animal models, bladder ischaemia, hypertension, dyslipidaemia, urodynamics, organoids, insulin resistance, detrusor</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">242347</post-id>	</item>
		<item>
		<title>Early Bladder Signals Predict Long-Term Recovery After Spinal Cord Injury</title>
		<link>https://scienmag.com/early-bladder-signals-predict-long-term-recovery-after-spinal-cord-injury/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Thu, 24 Sep 2026 23:12:18 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[bladder muscle reflexes post-injury]]></category>
		<category><![CDATA[bladder recovery]]></category>
		<category><![CDATA[bladder remodeling in SCI patients]]></category>
		<category><![CDATA[bladder signaling in SCI]]></category>
		<category><![CDATA[DBSCAN clustering]]></category>
		<category><![CDATA[early bladder function after spinal cord injury]]></category>
		<category><![CDATA[generalized linear model]]></category>
		<category><![CDATA[long-term recovery prediction]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[micturition]]></category>
		<category><![CDATA[neurogenic bladder]]></category>
		<category><![CDATA[neurogenic bladder management]]></category>
		<category><![CDATA[neurogenic bladder prognosis]]></category>
		<category><![CDATA[Physiological Reports]]></category>
		<category><![CDATA[predictive biomarkers for bladder recovery]]></category>
		<category><![CDATA[principal components analysis]]></category>
		<category><![CDATA[rat model]]></category>
		<category><![CDATA[rat models of spinal cord injury]]></category>
		<category><![CDATA[secondary complications of spinal cord injury]]></category>
		<category><![CDATA[Spinal Cord Injury]]></category>
		<category><![CDATA[Spinal cord injury bladder dysfunction]]></category>
		<category><![CDATA[urodynamic testing timing]]></category>
		<category><![CDATA[urodynamics]]></category>
		<category><![CDATA[voiding efficiency]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=213011</guid>

					<description><![CDATA[Continuous round-the-clock bladder monitoring in rats with spinal cord injury reveals that multivariate urodynamic patterns measured within days of injury can accurately predict long-term voiding recovery.]]></description>
										<content:encoded><![CDATA[<p>Within days of a spinal cord injury, the bladder falls silent. The muscle that once squeezed urine out on command becomes areflexic, and patients and clinicians alike enter a period of uncertainty that can last for months. Roughly 80 percent of people with spinal cord injury develop neurogenic bladder, a condition that shapes long-term quality of life and survival more than almost any other secondary complication. Yet the clinical course of that condition is notoriously unpredictable: two patients with seemingly identical injuries can end up on completely different trajectories, one regaining reasonably efficient reflexive emptying and the other spiraling toward retention, infections, and dangerous bladder remodeling. A new study in rats now suggests that the seeds of those divergent futures are visible almost immediately, hidden in the fine-grained dynamics of early bladder function.</p>
<p>The research, published in Physiological Reports, tackled a problem that has long frustrated both clinicians and preclinical scientists. Standard practice after spinal cord injury prioritizes medical stabilization and catheterization, pushing comprehensive urodynamic testing weeks or months down the road. By the time detailed bladder measurements are taken, a critical therapeutic window may already have closed. Compounding the problem, the bladder is not a single organ behaving in a single way; it is a synchronized neuromuscular system whose output depends on coordinated interactions among pressure, volume, timing, and filling rate. Reading any one of those numbers in isolation, the study&#8217;s authors argue, misses the multivariate signature that actually carries prognostic information.</p>
<p>To capture that signature, the team, led by Zachary Danziger of Florida International University, built an unusually rigorous monitoring setup. Twenty adult female Sprague-Dawley rats received bladder catheters; ten of them then underwent complete transection of the spinal cord at the ninth thoracic segment. All animals were housed in custom metabolic cages fitted with laser-etched wire mesh floors that let urine pass instantly to digital scales while deflecting solid waste, allowing around-the-clock automated recording of every voiding event. Implanted catheters connected to pressure transducers sampled intravesical pressure at 40 hertz. The result was a continuous, uninterrupted record of bladder pressure and voided volume for roughly 26 days after injury, spanning more than 5,000 voiding events across the group, a dataset with no real precedent in preclinical neurogenic bladder research.</p>
<p>The longitudinal data told a story of gradual but incomplete recovery. After the initial spinal shock phase, spinally mediated voiding reflexes re-emerged, and average voiding efficiency crept upward while post-void residual volumes declined. But even after a month, the injured group as a whole remained significantly worse than intact controls, with lower voiding efficiency and higher residual urine. More striking was the spread between individual animals. When the researchers applied an unsupervised clustering algorithm called DBSCAN to chronic-phase measurements of voiding efficiency and residual volume, three distinct recovery phenotypes emerged from the ten injured rats: a good recovery group of four animals reaching efficiency near 0.71 with residuals around 0.21 milliliters, a moderate group of five animals at roughly 0.45 efficiency and 0.78 milliliters of residual, and a single poor-recovery animal at 0.34 efficiency with nearly two milliliters retained after each void.</p>
<p>Crucially, even the best-recovering animals had not returned to normal. Intact rats showed clear day-night differences in voiding, emptying more efficiently during their rest phase, a pattern partly governed by circadian regulation of vasopressin and urine production. In every injured rat, regardless of phenotype, that diurnal variation was abolished and never returned over the four-week observation window. The good-recovery animals had achieved efficient emptying, but they did so through an involuntary spinal reflex circuit that resembles the primitive neonatal pattern of micturition rather than the supraspinally controlled system that existed before injury. Efficient voiding, in other words, can mask a fundamental change in the mechanism producing it.</p>
<p>The heart of the study lies in its predictive analysis. The researchers asked whether measurements taken in the first week after injury, days 3 through 10, could forecast which chronic phenotype each rat would occupy. Using a generalized linear model with a logit link function, constrained to at most three terms to avoid overfitting, they searched across thousands of candidate predictor combinations, including squared terms and interactions among six acute-phase urodynamic parameters. The winning model combined two interaction terms: the product of acute voided volume and acute voiding efficiency, and the product of acute ureter flow rate and the square of acute voiding efficiency. On the fitted data, this compact equation explained more than 90 percent of the variance in chronic voiding efficiency, and leave-one-out cross-validation, in which the model was retrained ten times with one rat withheld each time, confirmed that it generalized, achieving an R-squared of 0.84 on unseen animals.</p>
<p>That predictive power came from interactions rather than any single measurement, and this may explain why conventional clinical assessment has struggled to prognosticate early. During the acute phase, the urodynamic parameters of rats destined for good, moderate, or poor recovery were statistically indistinguishable when compared one at a time. Yet a principal components analysis revealed that each animal&#8217;s starting position along the dominant axis of multivariate variation, a dimension dominated by residual volume, efficiency, and filling rate, correlated with its eventual phenotype. Individual parameters told no story; the constellation of parameters told nearly the whole one. The finding suggests that redundancy in the urodynamic parameter space is considerable, which is good news for translation: a carefully chosen subset of clinically accessible measures might suffice for prediction without exhaustive monitoring.</p>
<p>The study also uncovered a temporal split in how bladder function reorganizes. Storage parameters, bladder capacity and ureter flow rate, established phenotype-specific values within the acute phase and then remained essentially stable for the rest of the month. Voiding parameters, by contrast, evolved continuously across weeks, consistent with progressive reorganization of spinal reflex circuitry. The authors interpret this split as evidence that two processes on different timescales shape outcome: rapid structural and molecular changes in the bladder wall, including epithelial barrier failure and inflammatory remodeling that begin within hours of injury, and slower neural plasticity in the spinal cord. Acute ureter flow rate, which reflects renal filtration rather than bladder physiology, varied systematically across phenotypes, hinting that systemic physiological differences at the time of injury may also contribute to prognosis through mechanisms that remain to be determined.</p>
<p>Pressure dynamics added a further layer. Non-voiding contractions, transient pressure rises unaccompanied by urine output, separated the phenotypes at every phase of recovery. Good-recovery animals averaged fewer than one such contraction per filling interval in the acute phase, while moderate-recovery animals averaged more than eight, a difference that persisted through the intermediate and chronic phases. Maximum voiding pressure diverged later, with good-recovery animals showing significantly lower pressures by the intermediate phase. Because inter-void intervals did not differ between groups, the contraction-count differences reflect genuine differences in detrusor instability rather than differences in how long the bladder had to misbehave.</p>
<p>The authors are careful to frame the work as preliminary and hypothesis-generating. Only female rats were studied to limit biological variability, and known sex differences in post-injury bladder dysfunction mean that validation in male and mixed cohorts is essential. Continuous metabolic cage housing also precluded simultaneous recording of external urethral sphincter activity, leaving detrusor-sphincter coordination unverified electrophysiologically. Still, the conceptual advance is substantial: this is, to the authors&#8217; knowledge, the first continuous longitudinal characterization of post-injury bladder reorganization in a rat model, and it demonstrates that chronic outcome is not determined by injury level alone but by patterns of multivariate urodynamic interaction established early in recovery. If those patterns can be captured with clinically practical measurements in human patients, the window in which the spinal cord and bladder are most adaptable could finally become a window in which clinicians act, directing antispasmodic therapy, catheterization strategy, or emerging neuromodulation approaches to the patients who need them most, before irreversible secondary damage takes hold.</p>
<p><strong>Subject of Research:</strong> Prediction of chronic neurogenic bladder recovery after spinal cord injury using early longitudinal urodynamics and machine learning in a rat model</p>
<p><strong>Article Title:</strong> Early urodynamic profiles predict lower urinary tract recovery after spinal cord injury in female rats</p>
<p><strong>Article References:</strong> Afrashteh, B., Khan, S., Adury, R. Z., Angoli, D., &amp; Danziger, Z. C. (2026). Early urodynamic profiles predict lower urinary tract recovery after spinal cord injury in female rats. <em>Physiological Reports, 14</em>(17), Article e71101. <a href="https://doi.org/10.14814/phy2.71101" rel="noopener noreferrer">https://doi.org/10.14814/phy2.71101</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.14814/phy2.71101" rel="noopener noreferrer">10.14814/phy2.71101</a></p>
<p><strong>Keywords:</strong> spinal cord injury, neurogenic bladder, urodynamics, voiding efficiency, machine learning, generalized linear model, rat model, bladder recovery, micturition, DBSCAN clustering, principal components analysis, Physiological Reports</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">213011</post-id>	</item>
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