Integrating BP Monitoring With Precision

Teresa Castiello
Teresa-Castiello

Laura Cowen interviewed Teresa Castiello, MD, a cardiologist and healthcare prevention advocate, to discuss her insights on hypertension management in the era of precision medicine. Castiello shared her perspectives on the need for a proactive approach to hypertension care, the role of precision medicine and pharmacogenomics, and the potential impact of digital health Hilo in transforming how hypertension is diagnosed, monitored, and treated.

Q: Do you think there needs to be a shift in how hypertension is diagnosed and treated?

Teresa Castiello, MD: Without a doubt. We must move from reactive medicine—treating damage once it has occurred—to proactive medicine. Hypertension is frequently underdiagnosed because it often remains asymptomatic until organ damage is already underway. Furthermore, traditional office readings are often biased by the “white coat” effect, which is why clinical guidelines, including those from the ESC (European Society of Cardiology), are moving away from them. Current monitoring also has limitations; nocturnal readings from standard cuffs often wake the patient, and sporadic readings fail to reflect the true, dynamic daily blood pressure response.

Q: Are there any “uncomfortable truths” about hypertension care that we don’t talk about enough?

Castiello: A significant “uncomfortable truth” is the lingering bias that considers a rising blood pressure to be a normal part of aging. It isn’t. Data from the Yanomami population in the Amazon shows that systolic blood pressure can remain constant at approximately 100 mmHg throughout life. In our Westernized society, blood pressure increases as a response to environmental and stressful “insults” rather than as a physiological necessity. Unfortunately, current clinical practice in the U.K. has not yet fully implemented recent ESC changes. We still see values defined as “normal” when guidelines now identify them as elevated (anything above 120/70 mmHg). Cardiovascular risk actually begins to climb much sooner than most realize, often at systolic levels as low as 110–115 mmHg.

Q: Is there a risk of current treatment strategies controlling blood pressure numbers without addressing underlying mechanisms?

Castiello: Yes. Labeling most cases as “essential hypertension” is essentially admitting we are treating a multifactorial condition of unknown cause. We often fail to assess the individual holistically. Stress, hormonal shifts, poor work-life balance, diet, and physical inactivity are profound drivers of blood pressure increases. While medical therapy is a vital tool, we must not forget that humans are multifaceted and complex. We need a healthcare approach that treats the person, not just the metric.

Q: Is there a need for increased precision medicine in hypertension, e.g., with the use of pharmacogenomics? Could this information redefine high-risk?

Castiello: We are in an era where precision medicine is the only way to deliver effective care. The power of data is enabling us to target prevention and early diagnosis like never before. Pharmacogenomics is a key part of this; by understanding how a patient’s genetic profile influences their metabolism of a drug, we can move away from “trial and error.” This information redefines “high-risk” from a generic population score to an individual biological reality. It allows us to define optimal doses that maximize efficacy while minimizing the toxicity that often leads to treatment non-compliance.

Q: Are healthcare systems ready to integrate continuous blood pressure monitoring into routine care?

Castiello: Probably not yet, but they will be forced to be. COVID-19 showed that we can adapt to global interconnection and remote monitoring in a very short time when we have no choice. Prevention is the only way for healthcare systems to survive the rising burden of chronic disease. Philosophically, if we wait until we feel “ready” to take action, we will never act. The time to implement these preventive strategies is now.

Q: In ten years’ time, how do you hope hypertension will be managed differently?

Castiello: I hope every individual has access to a medical-grade wearable—whether a band, ring, or chip—empowered by AI to feed data into a proactive health system. This data will be filtered to flag those requiring care at a pre-pathological stage. We can no longer afford to wait for a crisis to occur before we treat it; global healthcare systems cannot handle that burden. We must prevent what is possible and focus our hospital resources on the conditions that occur despite our best preventive strategies

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High-Throughput Platform for Fast-Acting Covalent Protein Therapies

Researchers at Westlake University in China, lead by Bobo Dang, PhD, and Ting Zhou, PhD, report the development of a high-throughput platform for engineering fast-acting covalent protein therapeutics. The team says their study “A high-throughput selection system for fast-acting covalent protein drugs,” published in Science, opens new avenues for next-generation biologics.

Covalent small-molecule drugs have shown great success in cancer therapy by forming irreversible bonds with their targets. This has inspired efforts to extend covalent strategies to protein therapeutics, especially engineered miniproteins. However, their development is limited by a kinetic mismatch. Miniproteins are rapidly cleared in vivo, while covalent bond formation is typically slow. In addition, high-throughput platforms for systematically optimizing covalent protein reactivity have been lacking.

To address this challenge, the researchers proposed that precise spatial positioning of chemical warheads within protein scaffolds could enable molecular preorganization, thereby accelerating covalent bond formation without increasing intrinsic reactivity (see figure).

The principle for developing fast-acting covalent proteins via comprehensive crosslinker and protein sequence engineering. [Bobo Dang's Lab at Westlake University]
The principle for developing fast-acting covalent proteins via comprehensive crosslinker and protein sequence engineering. [Bobo Dang’s Lab at Westlake University]

Based on this concept, the team created a high-throughput platform that combines yeast surface display with chemoselective protein modification to screen diverse crosslinkers and millions of protein variants. The platform enables rapid and irreversible target engagement.

Using this platform, the researchers developed a covalent antagonist targeting PD-L1, termed IB101. Structural analysis revealed that IB101 forms a defined binding pocket that precisely positions the active moiety in a reactive conformation, greatly accelerating covalent bond formation.

Functionally, IB101 effectively blocks the PD-1/PD-L1 immune checkpoint pathway and demonstrates strong antitumor activity in mouse models. Notably, despite its short in vivo half-life, IB101 achieves durable target engagement and tumor suppression, outperforming conventional antibody-based therapies under comparable conditions, according to the scientists.

The platform was further applied to cytokine engineering, leading to the development of a covalent IL-18 variant, IB201. This engineered cytokine rapidly forms a covalent interaction with its receptor, enhancing signaling strength and duration. In vivo studies showed that IB201 induces potent antitumor immune responses without detectable systemic toxicity. These results highlight the potential of covalent engineering to improve the efficacy and safety of cytokine-based therapies.

Beyond immunotherapy targets, the platform was also applied to develop a covalent inhibitor targeting the receptor-binding domain (RBD) of SARS-CoV-2. This molecule showed durable viral neutralization, demonstrating the versatility of the approach across different therapeutic modalities, note the researchers, adding that the study establishes a general strategy for engineering fast-acting covalent protein therapeutics.

By enabling covalent bond formation on timescales compatible with rapid in vivo clearance, the platform overcomes a fundamental limitation in the field, say the scientists. These findings, they continue, provide a new framework for designing biologics with both rapid kinetics and sustained target engagement, with broad implications for cancer immunotherapy, antiviral therapy, and beyond.

 

 

 

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Medtech OEMs face a rare but closing window of opportunity

This is a manufacturing decision you can’t defer in 2026. Mark Freitas, Alvarez & Marsal Private-equity-backed CDMO platforms are aging into exits. OEMs who know what they want will move first. The 2022-2024 structural reset is over and the financing gap is narrowing. The sector has emerged from a period of value depression and as…

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Zeus adds catheter components to Chamfr marketplace

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Bodycote plans to open a new heat treatment facility in Mexico

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FDA warns resin change may have caused tubing danger

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Evaluation of a Parent Multimedia and Mobile-Based Intervention to Promote Pediatric Oral Health (BeReadyToSmile): Single-Group Pre-Post Feasibility Study

Background: The universal adoption of mobile technologies by households has created an opportunity to provide families with young children with access to high-quality oral health information at convenient times and locations. Using community agencies (eg, Head Start and public health programs) that offer parenting education is an effective approach to reaching families in low-income households. Objective: This study aimed to explore the extent to which a coordinated, in-person oral health prevention intervention, together with an accompanying smartphone app, BeReadyToSmile, is feasible to implement among caregivers of young children. Methods: The BeReadyToSmile program targeted parents of children aged 0 to 6 years attending parenting education classes. This study was designed as a single-group pre-post feasibility study that included quantitative surveys and open-ended feedback. A total of 30 parents attended an in-person session on child oral health and were invited to use the BeReadyToSmile smartphone app. Preintervention and postintervention surveys were administered to assess pediatric oral health knowledge, attitudes toward child toothbrushing, brushing intention, brushing efficacy, program satisfaction, and ease of use. Results: Significant effects were observed on parent-reported pediatric oral health knowledge, attitudes toward brushing, brushing intention, and toothbrushing efficacy. Out of the 30 parents invited to use the BeReadyToSmile app, 1 (3%) completed no sessions and 20 (67%) completed all sessions. Participants rated the app highly on measures of satisfaction and use. We found significant increases in pediatric oral health knowledge (.004), child brushing attitudes and intention (=.01), and parental efficacy regarding child toothbrushing (=.03). Conclusions: Caregivers reported positive experiences with the implementation of BeReadyToSmile, indicating the overall feasibility of delivering oral health prevention to households with young children both in person and through a facilitated smartphone app. Further studies should include a larger and more diverse sample, randomized comparison conditions, and a longer follow-up period to assess outcomes. Trial Registration: ClinicalTrials.gov NCT03637309;
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Assessment of Telemedicine Perceptions, Usability, and Implementation Barriers Among Physicians in Kazakhstan Using the Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazakhstan Version (TUQ-MAST-KZ) Questionnaire: Pilot Cross-Sectional Survey Study

Background: Health care professionals’ perceptions of telemedicine, its usability, and the presence of organizational barriers are important determinants of the successful implementation of digital solutions in health care. In Kazakhstan, the use of international assessment instruments requires contextual adaptation. The Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazakhstan version (TUQ-MAST-KZ) questionnaire was previously developed and psychometrically validated by integrating elements of the TUQ and MAST frameworks to assess perceptions of telemedicine within the national context. Objective: The aim of this study was to conduct the first pilot application of the TUQ-MAST-KZ questionnaire with physicians in Kazakhstan and perform an initial assessment of the organizational, technical, and educational aspects of telemedicine implementation. Methods: This cross-sectional study involved an anonymous online survey using the TUQ-MAST-KZ questionnaire, which covers perceptions of telemedicine, formats of use, platform usability, communication-related aspects, telemonitoring, organizational conditions, and implementation barriers. Responses from 156 physicians were analyzed. Stratified nonparametric comparisons were performed by sex, age group, work experience (years), and workplace, adjusted for multiple comparisons. Results: The most used telemedicine formats were telephone consultations (78/156, 50%), video consultations (69/156, 44.2%), chats and messaging applications (57/156, 36.5%), and mobile apps (48/156, 30.8%). The Kazakhstan National Telemedicine Network was used by 14.7% (23/156). Wearable devices were used by 5.8% (9/156). Telemedicine technologies incorporating artificial intelligence elements were used regularly by 13.5% (21/156) and occasionally by 32.1% (50/156) and not used by 50.6% (79/156). Positive ratings were as follows: 48.7% (76/156) regarding the simplicity and intuitiveness of telemedicine platforms; 56.4% (88/156) regarding the timeliness of patient condition monitoring; 51.9% (81/156) regarding the effectiveness of telemedicine for the management of patients with chronic diseases. The potential usefulness of telemonitoring for earlier detection of deterioration of a patient’s condition was rated as fairly or very high by 48.7% (76/156); 41% (64/156) rated it as moderate. Only 35.9% (56/156) positively rated the connection’s reliability and stability. Regarding the accuracy of wearable device data transmission, 57.1% (89/156) responded neutrally, potentially indicating ambiguity in perception, limited personal experience, or difficulty evaluating this aspect. Readiness to recommend telemonitoring at the national level was more often rated as moderate, high, or very high (78/156, 50%; 42/156, 26.9%; 14/156, 9%, respectively). Conclusions: This pilot application of the TUQ-MAST-KZ questionnaire showed a generally moderately positive perception of telemedicine by physicians, who recognized its potential clinical and organizational value. However, we identified substantial technical and institutional barriers, including connection instability, concerns about the accuracy of data transmission, insufficient process formalization, and a need for additional training. These preliminary findings should be interpreted in light of the pilot study design; however, they may serve to inform future larger-scale research and the development of organizational measures related to physician training, protocol standardization, and infrastructure support for telemedicine implementation.
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A Gamified Pain Management Intervention for Adults With Chronic Pain in Mainland China: Single-Arm Pre-Post Pilot Study With Machine Learning Predictive Modeling

Background: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning worldwide. In mainland China, maintaining engagement in biopsychosocial interventions remains challenging. Gamification, designed based on self-determination theory, can enhance motivation, while machine learning (ML) algorithms can assist clinicians in dynamically optimizing pain management. Objective: This study aimed to (1) evaluate the preliminary effectiveness of a gamified pain management (GPM) program on CP and psychological outcomes and (2) identify key factors of significant pain improvements through the application of ML to guide intervention adjustments. Methods: A single-arm, pre-post study was conducted with 16 participants with CP in mainland China, recruited via social media using convenience sampling. Participants engaged in a 10-week web-based GPM intervention consisting of education, physical activities, and gamified elements, including points, avatars, and feedback. Primary outcomes were pain intensity and interference measured by the Brief Pain Inventory. Secondary outcomes included anxiety, depression, and quality of life. Analysis included paired tests, and ML models were trained to predict clinically meaningful pain reductions. Shapley additive explanations, least absolute shrinkage and selection operator regression, association rule mining, and Kaplan-Meier survival analysis were used to identify key predictors and optimal sessions and intervention durations across subgroups. Results: A total of 16 participants were engaged, with a mean age of 27.63 (SD 9.584) years. Results from paired tests reported significant improvements in pain intensity (decreased by 27.3%, 95% CI 1.061 to 3.064; =.001), pain interference (decreased by 27.3%, 95% CI 8.159-17.216; <.001), and psychological distress, including anxiety (=3.538, 95% CI 0.969 to 3.906; =.003) and depression (=4.559, 95% CI 2.230 to 6.145; <.001). The gradient boosting model demonstrated the highest predictive accuracy (area under the curve=0.89 and accuracy=0.82). Least absolute shrinkage and selection operator regression identified session 3 (β=−0.45, 95% CI −0.68 to −0.22; <.001) and session 5 (β=−0.32, 95% CI −0.59 to −0.05; =.02) as most predictive of clinical success, while association rule mining revealed effective session combinations for different patient subgroups. Time-to-event analyses indicated that individuals with low back pain and higher baseline severity required longer intervention durations for improvement (5 wk; =.03). Conclusions: This pilot study presents an innovative method that combines ML with dynamic engagement data from a GPM program during interventions, rather than relying on static baseline data in prior studies. The results show preliminary efficacy and identify specific optimal session combinations and personalized treatment durations for different pain subgroups. These exploratory findings contribute to the field by providing a data-driven method for adaptive, personalized digital health interventions that move beyond one-size-fits-all strategies, potentially enabling clinicians to modify content and dosage to improve engagement and outcomes if validated in larger sample trials. Trial Registration: Chinese Clinical Trial Registry ChiCTR2400094247; https://www.chictr.org.cn/showprojEN.html?proj=245138