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The carotid body (CB) is the main peripheral chemoreceptor for arterial respiratory gases O 2 and CO 2 and pH, eliciting reflex ventilatory, cardiovascular, and humoral responses to maintain homeostasis. This review examines the fundamental biology underlying CB chemoreceptor function, its contribution to integrated physiological responses, and its role in maintaining health and potentiating disease. Emphasis is placed on 1) transduction mechanisms in chemoreceptor (type I) cells, highlighting the role played by the hypoxic inhibition of O 2 -dependent K + channels and mitochondrial oxidative metabolism, and their modification by intracellular molecules and other ion channels; 2) synaptic mechanisms linking type I cells and petrosal nerve terminals, focusing on the role played by the main proposed transmitters and modulatory gases, and the participation of glial cells in regulation of the chemosensory process; 3) integrated reflex responses to CB activation, emphasizing that the responses differ dramatically depending on the nature of the physiological, pathological, or environmental challenges, and the interactions of the chemoreceptor reflex with other reflexes in optimizing oxygen delivery to the tissues; and 4) the contribution of enhanced CB chemosensory discharge to autonomic and cardiorespiratory pathophysiology in obstructive sleep apnea, congestive heart failure, resistant hypertension, and metabolic diseases and how modulation of enhanced CB reactivity in disease conditions may attenuate pathophysiology.

Background: Bone metastatic prostate cancer (BMPCa), despite the initial responsiveness to androgen deprivation therapy (ADT), inevitably becomes resistant. Recent clinical trials with upfront treatment of ADT combined with chemotherapy or novel hormonal therapies (NHTs) have extended overall patient survival. These results indicate that there is significant potential for the optimization of standard-of-care therapies to delay the emergence of progressive metastatic disease. Methods: Here, we used data extracted from human bone metastatic biopsies pre- and post-abiraterone acetate/prednisone to generate a mathematical model of bone metastatic prostate cancer that can unravel the treatment impact on disease progression. Intra-tumor heterogeneity in regard to ADT and chemotherapy resistance was derived from biopsy data at a cellular level, permitting the model to track the dynamics of resistant phenotypes in response to treatment from biological first-principles without relying on data fitting. These cellular data were mathematically correlated with a clinical proxy for tumor burden, utilizing prostate-specific antigen (PSA) production as an example. Results: Using this correlation, our model recapitulated the individual patient response to applied treatments in a separate and independent cohort of patients (n = 24), and was able to estimate the initial resistance to the ADT of each patient. Combined with an intervention-decision algorithm informed by patient-specific prediction of initial resistance, we propose to optimize the sequence of treatments for each patient with the goal of delaying the evolution of resistant disease and limit cancer cell growth, offering evidence for an improvement against retrospective data. Conclusions: Our results show how minimal but widely available patient information can be used to model and track the progression of BMPCa in real time, offering a clinically relevant insight into the patient-specific evolutionary dynamics of the disease and suggesting new therapeutic options for intervention. Trial registration: NCT # 01953640. Funding: Funded by an NCI U01 (NCI) U01CA202958-01 and a Moffitt Team Science Award. CCL and DB were partly funded by an NCI PSON U01 (U01CA244101). AA was partly funded by a Department of Defense Prostate Cancer Research Program (W81XWH-15-1-0184) fellowship. LC was partly funded by a postdoctoral fellowship (PF-13-175-01-CSM) from the American Cancer Society.

The NCCN Guidelines for Prostate Cancer address staging and risk assessment after a prostate cancer diagnosis and include management options for localized, regional, and metastatic disease. Recommendations for disease monitoring and treatment of recurrent disease are also included. The NCCN Prostate Cancer Panel meets annually to reevaluate and update their recommendations based on new clinical data and input from within NCCN Member Institutions and from external entities. This article summarizes the panel’s discussions for the 2021 update of the guidelines with regard to systemic therapy for metastatic castration-resistant prostate cancer.

Abstract Background Echinococcus multilocularis is a destructive zoonotic cestode with low human incidence. Hydatid disease classically presents with hepatic or lung involvement with infrequent extrahepatic bone destruction. Diagnosis is challenging due to its latency and mimicry. Fig.1: Case 1 - X-ray imaging of the pelvis shows osseous destruction of the iliac crest secondary to known osteomyelitis status post left ilium debridement. Fig.2: Case 1 - Magnetic resonance imaging demonstrates extensive osteomyelitis throughout left ilium. Stable scattered focal fluid collections seen throughout the left lower quadrant. Methods CASE 1: A 57 year-old Albanian male with diabetes, latent TB, and left iliac lytic lesion presented with 4 weeks of left flank pain and was treated with 6 weeks of IV Ceftriaxone and Flagyl. 2 years later he returned with flank pain and purulent lumbar drainage. Hip x-ray suggested chronic osteomyelitis, with left psoas fluid collections on CT. Bartonella, Q fever, Brucella, HIV, AFB and fungal serologies were negative. Hemipelvis debridement revealed structures concerning for hydatid disease. Echinococcus IgG was equivocal. Histopathology was consistent with Echinococcus multilocularis species, and albendazole was started. On follow-up, he presented with left hip tenderness and toe extensor weakness. Labs showed mild leukocytosis. CT revealed progressive destruction of the left iliac with sacroiliac extension concerning for abscess. CASE 2: A 36 year-old female presented with lung and liver cysts, progressive dyspnea, and non-productive cough. She lived in Africa, Asia, and Europe and consumed local street food and unpasteurized milk. Hobbies included spelunking and swimming in freshwater lakes. She had exposure to stray animals, but denied bites or scratches. Over 4 years dyspnea progressed to orthopnea. MR abdomen revealed a 10x6x12cm liver cyst and chest CT showed 2 fluid-attenuating lesions in the LLL and RLL, measuring 4.9 x 6.0 cm and 6.8 x 4.3 cm respectively. Echinococcus, Bartonella, Q fever, Brucella, HIV, AFB and fungal serologies were negative. Schistosomiasis serology was equivocal. Fig. 3: Case 2 - MRI abdomen demonstrating 10x6x12cm liver cyst Fig. 4: Case 2 - Chest CT showed 2 dominant fluid attenuating lesions within the LLL and RLL. The larger lesion in RLL measures 6.8 x 4.3 cm. The left lower lobe lesion measures 4.9 x 6.0 cm. Results Patient 1 underwent type I hemipelvectomy. Patient 2 underwent pulmonary segmentectomy and liver lobectomy. Both were continued on albendazole. Fig. 5: Case 1 - Photo taken during debridement of left ileac and hip. Note presence of white cysts discovered intraoperatively. Fig. 6: Case 1 - Histopathologic slides (H&E stain) demonstrating hooks and scolices consistent with Echinococcus multilocularis. A. Hooklet (100x magnification). B. Hydatid cyst with black-staining structures suggestive of degenerating hooklets. C. Zoomed detail of cyst wall. D. Degenerating hydatid cyst and hooklets. Conclusion Equivocal IgG serology does not exclude infection. History and clinical presentation are key to diagnosis, but histopathology remains the gold standard. Hydatid bone infection progresses insidiously and frequently recurs, depending upon excision and debridement. Finally, echinococcosis demands aggressive long-term therapy and surveillance. Disclosures Claudia R. Libertin, MD, Pfizer, Inc. (Grant/Research Support, Research Grant or Support)

Although uncommon, Brucella infection can occur outside the areas of high endemicity, such as the USA. In the southern USA, hunters of wild swine are at risk for brucellosis. We present a case of a patient with fever, headache and constitutional symptoms that were ongoing for 11 months. He was diagnosed with neurobrucellosis. The patient was treated successfully with intravenous ceftriaxone, oral doxycycline and oral rifampin therapy. He had persistent neurological sequelae after completing treatment. This case illustrates the high index of suspicion needed to diagnose neurobrucellosis in a non-endemic country because initial symptoms can be subtle. The disease can be treated successfully, but long-lasting neurological sequelae are common.

Background Validated chronic migraine biomarkers could improve diagnostic, prognostic, and predictive abilities for clinicians and researchers, as well as increase knowledge on migraine pathophysiology. Objective The objective of this narrative review is to summarise and interpret the published literature regarding the current state of development of chronic migraine biomarkers. Findings Data from functional and structural imaging, neurophysiological, and biochemical studies have been utilised towards the development of chronic migraine biomarkers. These biomarkers could contribute to chronic migraine classification/diagnosis, prognosticating patient outcomes, predicting response to treatment, and measuring treatment responses early after initiation. Results show promise for using measures of brain structure and function, evoked potentials, and sensory neuropeptide concentrations for the development of chronic migraine biomarkers, yet further optimisation and validation are still required. Conclusions Imaging, neurophysiological, and biochemical changes that occur with the progression from episodic to chronic migraine could be utilised for developing chronic migraine biomarkers that might assist with diagnosis, prognosticating individual patient outcomes, and predicting responses to migraine therapies. Ultimately, validated biomarkers could move us closer to being able to practice precision medicine in the field and thus improve patient care.

AbstractBackgroundHeterozygous progranulin (GRN) mutations are an important cause of familial Frontotemporal Lobar Degeneration (f‐FTLD) associated with TDP‐43 pathology. The cellular role of progranulin remains unclear, but alterations in lipid metabolism and lysosomal function have been suggested. Better understanding the pathophysiology of progranulin deficiency is critical as several clinical trials are underway in this population, and fluid biomarkers are urgently needed to assess pharmacodynamic effects. Therefore, we conducted an unbiased metabolomic analysis in GRN mutation carriers and family member controls, and identified at least two classes of lipids altered in symptomatic GRN carriers.MethodsMatched plasma and CSF samples were obtained from GRN mutation carriers (46 plasma, 36 CSF) and age‐matched blood relatives (36 plasma, 18 CSF). Untargeted metabolite detection was conducted via LC‐MS/MS in both plasma (1389 compounds) and CSF (508 compounds) by Metabolon. To identify important compounds in differentiating these groups, we conducted an unbiased analysis between family controls, asymptomatic carriers, and symptomatic carriers using univariate one‐way ANOVA with post‐hoc Fisher’s LSD corrected for false discovery rate (FDR) and partial least squares ‐ discriminant analysis (PLS‐DA, Metaboanalyst). For compounds identified by this unbiased approach, correlation with measures of disease severity was analyzed via linear regression, controlling for age and gender.ResultsIn plasma, 22 compounds were identified as significant in discriminating between groups via ANOVA (FDR<0.05), and 17/22 were also identified by PLS‐DA (VIP>2.4). Of these, 21/22 compounds were lipids; 11 were sphingomyelins. Comparatively, in the relatively lipid‐poor CSF samples, 6/15 compounds identified by PLS‐DA (VIP>2.0) were phosphatidylcholines. Pathway impact analysis revealed a large impact from the GRN mutation on sphingolipids in plasma and glycerophospholipids in CSF. In secondary analyses, sphingomyelins were elevated in plasma from symptomatic carriers, while phosphatidylcholines were decreased in CSF. Secondary analyses showed these compounds were correlated with clinical measures of disease severity, including MoCA and CDR+NACC‐FTLD.ConclusionIncreased plasma concentration of sphingomyelin and decreased CSF phosphatidylcholines are both associated with worse clinical status in FTLD‐GRN. These findings suggest that impaired lipid metabolism could play a pathogenic role in FTLD‐GRN. Targeted lipidomic measures in plasma and CSF may potentially reveal useful clinical trial biomarkers.

AbstractBackgroundMeasuring changes in the earliest phases of familial frontotemporal lobar degeneration (f‐FTLD) and estimating symptom onset has important implications for clinical care. Early stage clinical trials have begun for f‐FTD, but the low prevalence of f‐FTLD mutation carriers and heterogeneous symptomology challenges trial design. Bayesian disease progression models (DPM) incorporate clinical data, neuroimaging metrics, and fluid biomarker concentrations to estimate latent disease age, providing estimates of symptom onset and progression status. Such models may facilitate enrollment in studies (i.e., inclusion of presymptomatic individuals) and provide more powerful analysis methods for trials.MethodA Bayesian latent variable repeated measures model was used to estimate disease progression, conditional on latent disease age (proximity to symptom onset), in 275 participants with mutations in GRN (n=68), MAPT (n=80) and C9orf72 (n=127). Median follow‐up was one year (range: 0‐4). Jointly modeled longitudinal variables included neuropsychological scores, CDR®+NACC‐FTLD box score, 3T MRI frontotemporal brain volumes, and plasma levels of neurofilament light chain (NfL). Sample size estimates for detecting treatment effects were generated by varying thresholds of estimated proximity to symptom onset.ResultThe Bayesian DPM provided a clear picture of clinical and neurological progression within each mutation group. Neuroimaging and NfL captured early progression rates (1 SD from controls) 5‐10 years before symptom onset. After symptom onset, CDR®+NACC‐FTLD box score was the most sensitive measure of disease progression. GRN mutation carriers had the largest annual progression rates (and lowest variability) compared to MAPT and C9orf72. Between 5 years pre‐ and 10 years post‐onset, CDR®+NACC‐FTLD box score progressed by 2 units/year (SD=2.7) in GRN mutation carriers ‐ almost twice the rate of progression in MAPT (M=1.2;SD=2.5) and C9orf72 (M=1.1;SD=2.2) mutation carriers. Compared to a trial enrolling only early symptomatic cases (CDR®+NACC‐FTLD=0.5 or 1), utilizing latent disease age would facilitate enrollment of asymptomatic cases with the same power.ConclusionBased on an estimation of symptom onset, Bayesian DPMs suggest clinical trials in GRN mutation carriers would require the smallest sample sizes. Furthermore, leveraging these DPMs would allow novel, powerful trial designs that may facilitate greater participant enrollment.

AbstractBackgroundImmune dysregulation may influence disease pathogenesis in familial frontotemporal dementia (fFTD), but the utility of peripheral biomarkers of inflammation remains unclear in this cohort. We sought to investigate candidate plasma biomarkers of immune function within a large cohort of fFTD kindreds from the ARTFL and LEFFTDS Consortia.MethodsWe examined plasma samples from 148 non‐carrier healthy controls and 256 asymptomatic and symptomatic individuals carrying autosomal dominant fFTD‐associated mutations (n=73 MAPT, n=120 C9ORF72, and n=63 GRN). ELISA was used to measure three plasma biomarkers of inflammation (YKL‐40, TNF‐α,IL‐6). We used Mann–Whitney U tests to compare concentrations amongst controls and subgroups of fFTD differing in disease severity, defined by the Clinical Dementia Rating Scale plus National Alzheimer’s Disease Coordinating Center Frontotemporal Lobar Degeneration Behavior and Language Domains (CDR® plus NACC FTLD) global score (asymptomatic=0, early symptomatic=0.5, late symptomatic ≥1). We also used linear mixed models to assess the utility of baseline inflammatory biomarkers in predicting the subsequent annual rate of decline in functional clinical severity (CDR® plus NACC FTLD sum of boxes) and psychomotor speed (Trails A).ResultsPlasma YKL‐40 concentrations were elevated in late symptomatic fFTD (59.3ng/ml [50.1]) relative to controls (32.9ng/ml [24.0]) (p=0.0003) and asymptomatic mutation carriers (30.9ng/ml [25.4], p=0.0001). Plasma TNF‐α concentrations were relatively low in asymptomatic mutation carriers (1.96pg/ml [0.56]) compared to early symptomatic fFTD (2.35pg/ml [0.83], p= 0.009). Amongst mutation carriers (including 140 with follow up clinical data), higher baseline plasma IL‐6 and YKL‐40 concentrations were associated with greater increase in functional clinical severity and declines in psychomotor speed, respectively.ConclusionPlasma biomarkers of inflammation increase with disease severity in fFTD and predict worse clinical trajectories. While the role of inflammation remains unclear in familial FTD, plasma markers of inflammation appear to reflect the processes influencing disease trajectory in patients carrying mutations associated with familial frontotemporal dementia.

AbstractBackgroundPlasma NfL is a sensitive marker of axonal injury that is elevated in symptomatic FTLD and asymptomatic carriers of FTLD‐associated genetic mutations at short‐term risk of phenoconversion to mild behavioral or cognitive impairment or dementia. In carriers of FTLD‐associated genetic mutations, NfL is associated with clinical measures of disease severity.MethodPlasma NfL was measured using single molecule array technology in baseline blood samples from 290 participants in the ARTFL/LEFFTDS consortia. Participants included 181 asymptomatic mutation carriers (C9orf72, GRN, and MAPT); 45 with mild impairment (MBI/MCI), and 64 with dementia. 103 family members without FTLD‐associated mutations served as asymptomatic controls. Social cognition scales were obtained through clinical evaluation at baseline, year 1, and year 2. Stepwise linear regressions assessed NfL relationships with baseline social cognition measures. Linear mixed models were used to test the ability of baseline NfL to predict longitudinal changes. Analyses corrected for age, sex, and genotype.ResultAt baseline, plasma NfL correlated with all measures of social cognition, regardless of genotype. Associations were strongest for the Revised Self‐monitoring Scale (RSMS;β = ‐.50, p < .001), total score of the Social Norms questionnaire (β= .48, p < .001), and caregiver burden (Zarit burden;β = .55, p < .001). Regardless of disease severity, baseline NfL related to worse RSMS scores over time (‐3.7 points at year 2/ LogNfL unit increase, 95% CI ‐1.7 to ‐5.7, p < .001). In MBI/MCI, higher baseline NfL was associated with worse longitudinal scores on the Social Norms questionnaire (‐5.9 points at year 2/LogNfL unit increase, 95% CI ‐1.1 to ‐10.7, p = .016). No associations were seen in asymptomatic non‐carriers.ConclusionIn this familial FTLD cohort, plasma NfL is correlated with clinical measures of social cognition and caregiver burden. Higher baseline plasma NfL concentrations are associated with worsening self‐monitoring and social norms scores over time. These associations suggest that NfL is correlated with clinically meaningful measures that may be relevant to therapeutic development.