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Chronic hypertension impairs lymphatic drainage in deep cervical lymph nodes
Kaiming Xu, Ankita Bhardwaj, Sunil Koundal, Qin Ren, Chenyu You, Xenophon Papademetris, Helene Benveniste, Tryphon T. Georgiou
Kaiming Xu, Ankita Bhardwaj, Sunil Koundal, Qin Ren, Chenyu You, Xenophon Papademetris, Helene Benveniste, Tryphon T. Georgiou
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Research Article Aging Immunology

Chronic hypertension impairs lymphatic drainage in deep cervical lymph nodes

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Abstract

The glymphatic-meningeal pathway, important for brain homeostasis, depends on the drainage function of the cervical lymphatic system. Although new therapies aim to modulate this pathway, a lack of methods for quantifying lymphatic drainage function hinders our ability to understand how targeting the cervical lymph nodes may benefit brain health. To address this, we developed and applied a fluid transport model to dynamic contrast-enhanced MRI (DCE-MRI) data to visualize and quantify tracer-tagged lymph through the deep cervical lymph nodes (dcLNs). The model incorporated physical principles of solute transport to provide a biologically interpretable framework for analyzing microflows in real time. We applied this model to investigate the effects of chronic hypertension on dcLN drainage by comparing normotensive Wistar-Kyoto rats with spontaneously hypertensive stroke-prone (SHRSP) rats. In normal rats, the model revealed complex and tortuous lymph streams of a 200 kDa tracer transported through the sinus system of the dcLNs. In contrast, SHRSP rats exhibited significantly altered fluid dynamics, characterized by simpler stream patterns and reduced flow through the dcLNs. These findings demonstrated that untreated chronic hypertension adversely affects lymph node drainage function. This study provides potentially new insight into impaired lymphatic drainage as a mechanism linking systemic disease to brain health.

Authors

Kaiming Xu, Ankita Bhardwaj, Sunil Koundal, Qin Ren, Chenyu You, Xenophon Papademetris, Helene Benveniste, Tryphon T. Georgiou

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Figure 4

Lymph flow through the dcLNs is reduced in chronic hypertension.

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Lymph flow through the dcLNs is reduced in chronic hypertension.
(A–C) T...
(A–C) Time course of volume-normalized tracer influx (A), efflux (B), and net rate (C) in dcLNs from WKY and SHRSP rats. (D) Time course of tracer speed within 3 k-means–derived clusters of the dcLN. (E) Comparison of average tracer speed across clusters for WKY dcLN. (F) Representative time-averaged speed map of a WKY dcLN and a SHRSP dcLN with clusters overlaid. (G) Comparison of volume-integrated speed (cluster volume × mean speed) in cluster 3 between WKY dcLNs and SHRSP dcLNs. (H) Schematic illustrating the calculation of tracer flow, where n is the vector perpendicular to the imaging slices. (I) Time course of volume flow through the cluster 3 region in WKY and SHRSP rats. (J) Time course of tracer flow through the cluster 3 region in WKY and SHRSP rats. Data in A–C, I, and J are presented as mean with 95% CI. Data in D are presented as mean with 95% CI for WKY dcLNs. Data in E and G are presented as mean ± SD with individual data points shown. In A–C, I, and J, group differences were assessed using a mixed-effects model with Geisser-Greenhouse correction, followed by Fisher’s least significant difference for multiple comparisons. In E, differences across clusters were assessed using unpaired t tests. In G, group differences were assessed using an unpaired t test. ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

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