Hypertension Prevalence and Related Risk Factors Among Mexican American Adults Are Increasing: National Health and Nutrition Examination Survey 1999 to 2018.

BACKGROUND: Acculturation affects hypertension prevalence among Hispanic people, but there have been no recent analyses specifically focused on Mexican American (MA) people. We sought to determine age-adjusted hypertension prevalence, abdominal obesity, and acculturation trends among MA adults and non-Hispanic White adults. METHODS AND RESULTS: Data from the NHANES (National Health and Nutrition Examination Survey) were analyzed in 2-year increments to observe trends in hypertension and risk factors (age, sex, body mass index, smoking status, abdominal obesity, waist-to-height ratio (WHtR), education, and income). Acculturation was based on three commonly used measures. The sample included 30 920 adults. Age-adjusted hypertension prevalence is higher in MA adults (52.7%) than White adults (48.3%). Hypertension risk factors-age, obesity prevalence, WHtR, acculturation-all significantly increased among MA adults, while smoking declined. Higher acculturation scores increased hypertension likelihood (odds ratio [OR], 1.44 [95% CI, 0.91-1.97]) for MA adults compared with those with lower acculturation scores. White adults with elevated WHtR >0.5 had a 40% higher risk of hypertension than those with WHtR <0.5, but among MA adults, elevated WHtR did not increase risk for hypertension. There was a significant increase in hypertension prevalence among MA adults from 2003 to 2018 at an average biennial rate of 2.23%. There was no change in hypertension prevalence among White adults from 1999 to 2018. CONCLUSIONS: Over 20 years of NHANES, more highly acculturated MA adults were at greater risk for hypertension, despite declines in smoking and controlling for age, sex, obesity status, education, and income. Finding ways to promote more traditional lifestyle and eating habits for MA adults could be a beneficial approach to reducing hypertension risk factors in this population.

Potential of APSIS-InSAR for measuring surface oscillations of tropical peatlands.

Tropical peatland across Southeast Asia is drained extensively for production of pulpwood, palm oil and other food crops. Associated increases in peat decomposition have led to widespread subsidence, deterioration of peat condition and CO2 emissions. However, quantification of subsidence and peat condition from these processes is challenging due to the scale and inaccessibility of dense tropical peat swamp forests. The development of satellite interferometric synthetic aperture radar (InSAR) has the potential to solve this problem. The Advanced Pixel System using Intermittent Baseline Subset (APSIS, formerly ISBAS) modelling technique provides improved coverage across almost all land surfaces irrespective of ground cover, enabling derivation of a time series of tropical peatland surface oscillations across whole catchments. This study aimed to establish the extent to which APSIS-InSAR can monitor seasonal patterns of tropical peat surface oscillations at North Selangor Peat Swamp Forest, Peninsular Malaysia. Results showed that C-band SAR could penetrate the forest canopy over tropical peat swamp forests intermittently and was applicable to a range of land covers. Therefore the APSIS technique has the potential for monitoring peat surface oscillations under tropical forest canopy using regularly acquired C-band Sentinel-1 InSAR data, enabling continuous monitoring of tropical peatland surface motion at a spatial resolution of 20 m.

Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers.

BACKGROUND: The encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and genomic data. Somatic copy number (CN) variation is the dominant mutational mechanism leading to transcriptional variation and notably contributes to platinum chemotherapy resistance cell states. Here, we deploy time series measurements of triple negative breast cancer (TNBC) single-cell transcriptomes, along with co-measured single-cell CN fitness, identifying genomic and transcriptomic mechanisms in drug-associated transcriptional cell states. RESULTS: We present scRNA-seq data (53,641 filtered cells) from serial passaging TNBC patient-derived xenograft (PDX) experiments spanning 2.5 years, matched with genomic single-cell CN data from the same samples. Our findings reveal distinct clonal responses within TNBC tumors exposed to platinum. Clones with high drug fitness undergo clonal sweeps and show subtle transcriptional reversion, while those with weak fitness exhibit dynamic transcription upon drug withdrawal. Pathway analysis highlights convergence on epithelial-mesenchymal transition and cytokine signaling, associated with resistance. Furthermore, pseudotime analysis demonstrates hysteresis in transcriptional reversion, indicating generation of new intermediate transcriptional states upon platinum exposure. CONCLUSIONS: Within a polyclonal tumor, clones with strong genotype-associated fitness under platinum remained fixed, minimizing transcriptional reversion upon drug withdrawal. Conversely, clones with weaker fitness display non-genomic transcriptional plasticity. This suggests CN-associated and CN-independent transcriptional states could both contribute to platinum resistance. The dominance of genomic or non-genomic mechanisms within polyclonal tumors has implications for drug sensitivity, restoration, and re-treatment strategies.