Changes In Physiological State Research Articles

MicroRNAs regulate the vicious cycle of vascular calcification-osteoporosis in postmenopausal women.

Menopause is a normal physiological process accompanied by changes in various physiological states. The incidence of vascular calcification (VC) increases each year after menopause and is closely related to osteoporosis (OP). Although many studies have investigated the links between VC and OP, the interaction mechanism of the two under conditions of estrogen loss remains unclear. MicroRNAs (miRNAs), which are involved in epigenetic modification, play a critical role in estrogen-mediated mineralization. In the past several decades, miRNAs have been identified as biomarkers or therapeutic targets in diseases. Thus, we hypothesize that these small molecules can provide new diagnostic and therapeutic approaches. In this review, we summarize the close interactions between VC and OP and the role of miRNAs in their interplay.

Multivariate data analysis on multisensor measurement for inline process monitoring of adenovirus production in HEK293 cells.

In the era of Biopharma 4.0, process digitalization fundamentally requires accurate and timely monitoring of critical process parameters (CPPs) and quality attributes. Bioreactor systems are equipped with a variety of sensors to ensure process robustness and product quality. However, during the biphasic production of viral vectors or replication-competent viruses for gene and cell therapies and vaccination, current monitoring techniques relying on a single working sensor can be affected by the physiological state change of the cells due to infection/transduction/transfection step required to initiate production. To address this limitation, a multisensor (MS) monitoring system, which includes dual-wavelength fluorescence spectroscopy, dielectric signals, and a set of CPPs, such as oxygen uptake rate and pH control outputs, was employed to monitor the upstream process of adenovirus production in HEK293 cells in bioreactor. This system successfully identified characteristic responses to infection by comparing variations in these signals, and the correlation between signals and target critical variables was analyzed mechanistically and statistically. The predictive performance of several target CPPs using different multivariate data analysis (MVDA) methods on data from a single sensor/source or fused from multiple sensors were compared. An MS regression model can accurately predict viable cell density with a relative root mean squared error (rRMSE) as low as 8.3% regardless of the changes occurring over the infection phase. This is a significant improvement over the 12% rRMSE achieved with models based on a single source. The MS models also provide the best predictions for glucose, glutamine, lactate, and ammonium. These results demonstrate the potential of using MVDA on MS systems as a real-time monitoring approach for biphasic bioproduction processes. Yet, models based solely on the multiplicity and timing of infection outperformed both single-sensor and MS models, emphasizing the need for a deeper mechanistic understanding in virus production prediction.

Evaluating local tolerance and toxic effects of Endoforce Phyto feed additive based on laboratory animals

During import substitution, feed additives are increasingly being used, including the most effective strains of spore-forming aerobic bacteria families of the genus Bacillus subtilis, capable of revealing the genetic potential of animals. No oedema and erythema were detected when determining the local tolerance of the Endoforce Phyto feed additive on the rabbit skin. The values of physiological parameters remained normal. Conjunctival instillation of the investigational product also did not lead to deterioration in the functions of the eye unit mucous membranes and the body's functional state. A single feeding of the Endoforce Phyto feed additive at a dose many times higher than the recommended one did not lead to the death of laboratory animals or changes in behavioural reactions and physiological state, which confirmed the absence of its acute toxicity. After 90 days of determining chronic toxicity in rodents of all experimental groups, an increase in the number of erythrocytes and haemoglobin was noted: in control – by 7.2 and 8.0%, in the 1st experimental group – by 10.8 and 13.9%, in the 2nd experimental one – by 13.3 and 11.1%, in the 3rd experimental one – by 12.7 and 20.7%, respectively, compared to the baseline values. This confirmed the best body oxygenation in the rats of the experimental groups. Within the follow-up period, an increase in the total protein content in the animals of the experimental groups from 57.03 g/l to 67.30-69.82 g/l and in individuals of the control one from 68.90 to 71.33 g/l compared to the primary screening data was registered. In contrast, the activity of such enzymes as alkaline phosphatase decreased in the control by 3.3 times, and in the experimental groups – only by 1.7-1.8 times. Comparable values of biochemical parameters in rats of the experimental and control groups confirm the absence of a negative impact of the studied feed additive on the parameters of protein, carbohydrate and lipid metabolism. In the results of the rat autopsy, no pathological changes in colour, consistency and size of internal organs were registered.

Comparative Analysis of Enzymatic and Immunological Biosensors in Biomedical Applications

Biosensors are essential for transforming biological signals into electrical ones and have a wide range of uses in the biomedical, agricultural, and environmental fields. A biosensor is a device that combines biological and physicochemical elements to detect changes in physiological or biochemical states. This paper provides a comprehensive overview of the development and application of enzymatic and immunological biosensors, emphasizing their significant role in environmental, agricultural, and biomedical sectors. By leveraging the unique properties of natural polysaccharides, particularly cellulose, for their construction, these biosensors offer enhanced biocompatibility, robust mechanical strength, and costeffectiveness. This study discusses the principles underlying biosensors, including their biological recognition elements, transduction mechanisms, and output systems. Enzymatic biosensors, characterized by their use of enzymes as bio receptors, and immunological biosensors, utilizing antibodies or antigens for the detection of immunocomplex formation, are evaluated in detail. Through comparative analysis, the paper highlights the diverse functionalities, sensitivities, and applications of these biosensors, ranging from glucose and hydrogen peroxide detection to monitoring of protein markers and E. coli bacteria. The study underscores the biosensors’ ability for facilitating rapid, incredibly sensitive, and specific detection capabilities, critical for advancing scientific diagnostics, environmental surveillance, and food protection.

Lumpy Diseases Detection using Machine Learning

Machine learning algorithms for improving animal health monitoring have accelerated the creation of ML applications for behavioral and physiological monitoring systems, including ML-based animal health monitoring systems. Currently, farm animals are raised all over the world, and it is necessary to monitor their physiological processes. It is suggested in this article to use machine learning models to continuously monitor each animal's vital signs and look for biological changes. In this model, crucial data is gathered via IoT devices, and data analysis is carried out using machine learning techniques to identify potential dangers from changes in an animal's physiological state. The results of the experiments demonstrate that the suggested model is accurate and efficient enough to identify animal situations. For our purposes, the CNN and YOLO accuracy of more than 90% is a promising outcome. Keywords- Lumpy disease , Machine learning, Images

Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states

AbstractThere is a lack of a safe and effective technology to monitor intracranial pressure accurately and non‐destructively. In this paper, the relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states was studied. First, the brain edema MC simulation model was constructed based on different types of brain edema. The results laid a foundation for clinical ICP detection. Second, the changes of ICP and reduced scattering coefficient caused by brain edema were studied in clinical application. It was found that when the patient developed brain edema, the reduced scattering coefficient and ICP showed corresponding changes. Finally, the mathematical model of invasive ICP and reduced scattering coefficient was established. It was found that the sensitivity of 834 nm light to brain tissue changes was higher than that of 692 nm light, which could be used to reflect the changes of brain tissue physiological state.

Combinatory Actions of Co-transmitters in Dopaminergic Systems Modulate Drosophila Olfactory Memories.

Dopamine neurons (DANs) are extensively studied in the context of associative learning, in both vertebrates and invertebrates. In the acquisition of male and female Drosophila olfactory memory, the PAM cluster of DANs provides the reward signal, and the PPL1 cluster of DANs sends the punishment signal to the Kenyon cells (KCs) of mushroom bodies, the center for memory formation. However, thermo-genetical activation of the PPL1 DANs after memory acquisition impaired aversive memory, and that of the PAM DANs impaired appetitive memory. We demonstrate that the knockdown of glutamate decarboxylase, which catalyzes glutamate conversion to GABA in PAM DANs, potentiated the appetitive memory. In addition, the knockdown of glutamate transporter in PPL1 DANs potentiated aversive memory, suggesting that GABA and glutamate co-transmitters act in an inhibitory manner in olfactory memory formation. We also found that, in γKCs, the Rdl receptor for GABA and the mGluR DmGluRA mediate the inhibition. Although multiple-spaced training is required to form long-term aversive memory, a single cycle of training was sufficient to develop long-term memory when the glutamate transporter was knocked down, in even a single subset of PPL1 DANs. Our results suggest that the mGluR signaling pathway may set a threshold for memory acquisition to allow the organisms' behaviors to adapt to changing physiological conditions and environments.SIGNIFICANCE STATEMENT In the acquisition of olfactory memory in Drosophila, the PAM cluster of dopamine neurons (DANs) mediates the reward signal, while the PPL1 cluster of DANs conveys the punishment signal to the Kenyon cells of the mushroom bodies, which serve as the center for memory formation. We found that GABA co-transmitters in the PAM DANs and glutamate co-transmitters in the PPL1 DANs inhibit olfactory memory formation. Our findings demonstrate that long-term memory acquisition, which typically necessitates multiple-spaced training sessions to establish aversive memory, can be triggered with a single training cycle in cases where the glutamate co-transmission is inhibited, even within a single subset of PPL1 DANs, suggesting that the glutamate co-transmission may modulate the threshold for memory acquisition.

Association between birth-related factors and periodontitis in women: Korea National Health and Nutrition Examination Survey 2013-2018.

Adult women experience several changes in physiological status, such as pregnancy and childbirth, during their life cycle. This study analyses the association between birth-related factors (the number of childbirths, abortions and miscarriages) and periodontitis using data from the Korea National Health and Nutrition Examination Survey, which represents Korean adults. The study used data from Korea National Health and Nutrition Examination Survey VI and VII (2013-2018) and included 10,072 women 19 years or older, with no missing data on the variables assessed. Periodontitis was defined according to the Community Periodontal Index (CPI) criteria. Multiple logistic regression analysis, adjusting for age, household income, education, alcohol consumption, smoking, stress, body mass index, waist circumference, hypertension, diabetes mellitus, an oral examination within 1 year, daily tooth brushing frequency, hygiene products and self-perceived oral health as identified via logistic regression analyses, was performed to determine the association between birth-related variables and periodontitis. In the crude model, the odds ratio (OR) showed a significantly increased risk of periodontitis (CPI ≥ 3) and severe periodontitis (CPI = 4) based on the number of childbirths, abortions and miscarriages (p < .05). After covariate adjustment, periodontitis (CPI ≥ 3) was associated with the number of childbirths (1: OR = 1.92; 95% confidence interval [CI]: 1.47-2.50; 2: OR = 2.03; 95% CI: 1.57-2.61; ≥3: OR = 2.11; 95% CI: 1.60-2.78). Furthermore, severe periodontitis (CPI = 4) was also associated with the number of childbirths (1: OR = 2.33; 95% CI: 1.24-4.38; 2: OR = 2.99; 95% CI: 1.62-5.52; ≥3: OR = 3.34; 95% CI: 1.79-6.21). The findings of this large-scale, nationally representative study suggest that the number of childbirths is associated with the severity of periodontitis. However, the relationship between the number of abortions and miscarriages and periodontitis (CPI ≥ 3) or severe periodontitis (CPI = 4) is not significant.

Dietary trends among Polish women in 2011-2022-cross-sectional study of food consumption frequency among women aged 20-50 in Silesia region, Poland.

Women's nutrition should be different from that of men. Women have lower energy requirements than men. And the need for certain vitamins and minerals is higher in women, this applies to iron, calcium, magnesium, vitamin D and vitamin B9 (folic acid). This is related to hormonal changes including menstruation, pregnancy, breastfeeding and the onset of menopause. Through hormonal changes and the changing physiological state, women are at greater risk of anaemia, bone weakness and osteoporosis.The aim of the study was to assess changes in the dietary pattern among women from the Silesian Agglomeration in Poland between 2011 and 2022. The survey was conducted in 2011 (March-May 2011) and in 2022 (October-November 2022) among women living in the Silesian Agglomeration (Silesia region) in Poland aged 20-50. After consideration of the inclusion and exclusion criteria, 745 women were included in the final analysis, including 437 women screened in 2011 and 308 women screened in 2022.The research tool used in this publication was a survey questionnaire consisting of 2 parts. The first part of the questionnaire consisted of demographic data. The second part of the study focused on the dietary habits of the women surveyed and the frequency of consumption of individual foods (FFQ). More women in 2022 ate breakfast than in 2011 (77.6% vs. 63.8% p < 0.001), were more likely to eat breakfast I at home (73.1% vs. 62.5%; p < 0.001), were more likely to eat breakfast II (39.0% vs. 35.2%; p = 0.001), were more likely to eat breakfast II at home (28.6% vs. 19.2%; p = 0.002), and were more likely to eat lunch at work (16.6% vs. 3.4%; p < 0.001). Women in 2022 were more likely to consume fast-food (p = 0.001), salty snacks (chips, crisps) (p < 0.001) and sweets (p < 0.001). Women in 2022 were more likely to consume whole-grain bread (p < 0.001), wholemeal pasta (p < 0.001), brown rice (p < 0.001), oatmeal (p < 0.001), buckwheat groats (p = 0.06), and bran (p < 0.001) than women in 2011. They were less likely to consume white bread (p < 0.0001), light pasta (p = 0.004), white rice (p = 0.008) and cornflakes (p < 0.001) in 2022.Women in 2022 were significantly more likely to consume vegetables (p < 0.001) than women in 2011. Eating habits in Silesia region women changed between 2011 and 2022. In 2022, women were more likely to choose cereal products considered health-promoting and rich in dietary fiber (including whole-grain bread, whole-grain pasta, oatmeal, bran) were more likely to consume vegetables, dry pulses and vegetarian dinners, and consumed less meat, cured meats, fish and dairy products. Consumption of fast-food, salty snacks (such as chips) and sweets increased.

Atmospheric nourishment of global ocean ecosystems

Over the vast open ocean, vital nutrients for phytoplankton growth in the sunlit surface layer are largely provided through physical transport from deep waters, but some nutrients are also provided through atmospheric deposition of desert dust. The extent and magnitude of dust-mediated effects on surface ocean ecosystems have been difficult to estimate globally. In this work, we use global satellite ocean color products to demonstrate widespread responses to atmospheric dust deposition across a diverse continuum of phytoplankton nutritional conditions. The observed responses vary regionally, with some areas exhibiting substantial changes in phytoplankton biomass, whereas in other areas, the response reflects a change in physiological status or health. Climate-driven changes in atmospheric aerosols will alter the relative importance of this nutrient source.

The Final Pathway of Carbohydrate Oxidation: Revisiting the mLOC

The confirmation of the Intracellular Lactate Shuttle proposed by Brooks and colleagues in 1998 revolutionized the way lactate metabolism was studied in the field of exercise physiology, nutrition, metabolism, and medicine. Previous investigations identified the structure of the mitochondrial Lactate Oxidation Complex (mLOC) which includes MCT1, LDH, COX4, and CD147. While the predominant view in research and textbooks was that pyruvate was imported into the mitochondria to be oxidized it wasn’t until 2009 that Jiang and Colleagues elucidated the mitochondrial pyruvate carrier (mPC). Knowing this, many researchers developed their questions around either pyruvate or lactate metabolism, which may have led to confusion in the field since both substrates play an important role in carbohydrate oxidation. This dilemma led us to the hypothesis that the mPC is in fact an extended member of the mLOC. Mixed skeletal muscle and liver were excised and whole blood was collected post-mortem from (n=5) 4-month-old C57B/l6 mice. Tissues were homogenized in an isotonic solution supplemented with a protease and phosphatase inhibitor. Blood was resuspended in H2O to rupture the cell membranes and the lysates (RBC) were used as negative controls. Mitochondria were isolated by differential centrifugation and resuspended in RIPA buffer. Protein concentrations of tissues were determined using a BCA standard. Western blotting was performed by loading 20 ug of each lysate, separated on an SDS-PAGE gel, and transferred to a PVDF membrane. Membranes were blocked and probed for MCT1(1:1000), mPC1 (1:500), COX4(1:1000), LDHA (1:1000). An SDS-PAGE was repeated and the mPC was excised from the gel. A trypsin digest was performed to isolate the peptides and then analyzed by one-dimensional LCMS/MS at the UC Berkeley QB3 proteomics/mass spectrometry lab. For cDNA preparation, RNA was extracted from 15 mg of skeletal muscle using the Qiagen RNeasy Fibrous tissue kit, reverse transcribed, and concentrated using Quibit ssDNA kit. Quantitative PCR was run on a QuantStudio3 using Power SYBR Green chemistry to confirm the presence of mPC1 in skeletal muscle. Our results revealed that mPC1 was expressed in skeletal muscle along with other genes associated with the mLOC. Immunoblots of mitochondrial lysates contained MCT1, mPC1, LDH, and COX4 in both the skeletal muscle and liver mitochondrial fractions. As expected, MCT1 was also present in RBC lysates as the MCTs are present in both the sarcolemma and mitochondrial membrane. Moreover, LCMS/MS analysis confirmed the presence of mPC1 corroborating our immunoblots. Colocalization using immunocytochemistry confirms the revised mLOC structure. Accordingly, both the pyruvate and lactate transporters assist in maintaining the redox balance and varying rates of carbohydrate oxidation during changing physiological conditions. This promising data has implications for a variety of fields ranging from cancer biology to exercise physiology. NIH Grant #1 R01 AG059715-01 This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Human Metabolome Reference Database in a Biracial Cohort across the Adult Lifespan.

As one of the OMICS in systems biology, metabolomics defines the metabolome and simultaneously quantifies numerous metabolites that are final or intermediate products and effectors of upstream biological processes. Metabolomics provides accurate information that helps determine the physiological steady state and biochemical changes during the aging process. To date, reference values of metabolites across the adult lifespan, especially among ethnicity groups, are lacking. The "normal" reference values according to age, sex, and race allow the characterization of whether an individual or a group deviates metabolically from normal aging, encompass a fundamental element in any study aimed at understanding mechanisms at the interface between aging and diseases. In this study, we established a metabolomics reference database from 20-100 years of age from a biracial sample of community-dwelling healthy men and women and examined metabolite associations with age, sex, and race. Reference values from well-selected healthy individuals can contribute to clinical decision-making processes of metabolic or related diseases.

Age-related changes in sperm traits and evidence for aging costs of sperm production in a sexually promiscuous passerine

In many animal species, organismal performance declines with age in a process known as aging or senescence. Senescence typically leads to a deterioration of physiological functionality and can impact the development of primary sexual phenotypes. Sperm production is a complex and costly process that is sensitive to changes in individual physiological state, yet remarkably little is known about age-related changes in sperm performance and aging costs of sperm production. Here we use a non-linear generalized additive mixed models (GAMM) modelling to evaluate age-related changes in postcopulatory sexual traits in the European barn swallow (Hirundo rustica rustica), a relatively short lived sexually promiscuous passerine species, where male extra-pair fertilization success has been shown to increase with age. We confirmed a positive relationship between sperm midpiece length and sperm velocity in this species. Within-male changes in sperm morphology and sperm velocity were in general absent, with only sperm length decreasing linearly with increasing age, although this change was negligible compared to the overall variation in sperm size among males. In contrast, the cloacal protuberance (CP) size changed nonlinearly with age, with an initial increase between the first and third year of life followed by a plateau. The results further indicate the existence of a trade-off between investments in sperm production and survival as males with large CP tended to have a reduced lifespan. This seems consistent with the idea of expensive sperm production and survival aging costs associated with investments in post-copulatory traits in this sexually promiscuous species.

Chronic water restriction reduces sensitivity to brain stimulation reward in male and female rats

States of physiological need motivate individuals to seek and consume stimuli that restore homeostatic balance. This goal-directed behavior is driven, in part, by pathways that process reward and are sensitive to changes in physiological state, including the mesolimbic dopamine system. The effects of hunger and its physiological markers have been more widely studied for their role in modulating reward signaling pathways. However, fluid need produces robust goal-directed behavior and has also been shown to affect neural substrates of reward processing. To test how acute and chronic states of thirst might alter reward sensitivity, we used the intracranial self-stimulation (ICSS) rate-frequency paradigm (Carlezon & Chartoff, 2007) with male and female Long Evans rats. We hypothesized that sensitivity to ICSS would increase under an acute need state for water and would decrease under chronic deprivation. We found that acute water deprivation for 22-hours prior to the ICSS session did not alter any parameters of reward sensitivity. To elicit motivated behavior toward water in the absence of physiological need, we chemogenetically activated glutamatergic neurons of the subfornical organ (SFO). Despite eliciting more water consumption than acute deprivation, acute chemogenetic activation of SFO neurons also did not alter reward sensitivity. Finally, subjects underwent a five-day chronic water restriction protocol with daily ICSS sessions to determine the effects of sustained physiological need. Chronic water restriction resulted in reduced sensitivity to ICSS. Together, these results indicate that persistent changes in physiological state alter the responsiveness of reward circuitry that could potentially exacerbate maladaptive reward-seeking behaviors.

Gas Chromatography-Mass Spectrometry (GC-MS) Metabolites Analysis in Endometriosis Patients: A Prospective Observational Translational Study.

Endometriosis affects women of reproductive age, and its pathogenesis is still unclear. Typically, it overlaps other similar medical and surgical conditions, determining a delay in early diagnosis. Metabolomics allows studying metabolic changes in different physiological or pathological states to discover new potential biomarkers. We used the gas chromatography-mass spectrometer (GC-MS) to explore metabolic alterations in endometriosis to better understand its pathophysiology and find new biomarkers. Twenty-two serum samples of patients with symptomatic endometriosis and ten without it were collected and subjected to GC-MS analysis. Multivariate and univariate statistical analyses were performed, followed by pathway analysis. Partial least squares discriminant analysis was performed to determine the differences between the two groups (p = 0.003). Threonic acid, 3-hydroxybutyric acid, and proline increased significantly in endometriosis patients, while alanine and valine decreased. ROC curves were built to test the diagnostic power of metabolites. The pathway analysis identified the synthesis and degradation of ketone bodies and the biosynthesis of phenylalanine, tyrosine, and tryptophan as the most altered pathways. The metabolomic approach identifies metabolic alterations in women with endometriosis. These findings may improve our understanding of the pathophysiological mechanisms of disease and the discovery of new biomarkers.

Natural Physiological Changes on Overwintering and Spring Recovery of Needles of Pinus densiflora Siebold &amp; Zucc.

Overwintering and spring recovery of pine needles have important ecological significance. The natural changes in physiological state, photosynthetic function, and material metabolism in needles of Pinus densiflora Siebold &amp; Zucc. from the autumn of 2020 to the spring of 2021 were assessed. The photosynthetic rate (Pn) of P. densiflora needles decreased first and then increased, with the maximum Pn observed in the autumn. After experiencing sub-zero temperatures in the winter, needles of P. densiflora still performed weak photosynthesis at a temperature above zero. In the spring, the Pn gradually recovered but could not recover to the maximum. Under sub-zero temperatures in the winter of 2020, the plasma membrane permeability and MDA content of needles increased, whereas the chlorophyll content and Fv/Fm decreased significantly. The needles showed obvious characteristics of freezing injury. During the whole process, the water content of needles remained at a low level (about 60%), which gradually decreased with the increase of leaf age. The cell sap concentration and soluble sugar content of needles decreased with the decrease in air temperature and recovered in spring. Therefore, P. densiflora needles do not improve frost resistance through osmotic adjustment. However, the increasing carotenoid content is helpful for needles to tide over the winter. The soluble sugar and protein contents increased, implying they are important for the recovery of needles in spring. This study expands our understanding of the mechanism and ecological contribution of overwintering and spring recovery of pine needles.

Variability of hematological parameters in cows depending on their physiological status

The object of the study was Holstein cows of the second-fourth milk secretion and first-calf cows of different production groups formed depending on the physiological status of the animals. The most pronounced hematological changes were observed in sexually mature cows during the first three months of milk secretion. After fawning, the number of erythrocytes, lymphocytes, and hemoglobin decreased. The concentration of bloodforming elements in the groups with a first-calf cow was significantly higher than in sexually mature cows. The level of erythrocytes and hemoglobin in first-calf cows reaches its maximum value at the beginning of milk secretion. Sexually mature cows after the first month of milk secretion were statistically significantly superior to first-calf cows at the beginning of milk secretion in terms of granulocyte content. Cows, in the first days of milk secretion, had the most fantastic range of variability in the scope of erythrocytes, leukocytes, and hemoglobin, which reflects the individual response of the body to significant changes in physiological status. At the same time, the first-calf cows at the beginning of milk secretion had the most stable level of these hematological indices. Dry cows, as a rule, occupied an intermediate position regarding the variability of the content of blood form elements. Thus, assessing the hematological profile of cows of different production groups helps specialists make targeted adjustments to rations and housing conditions, effectively manage genetic resources and obtain high profits.

Microfluidic technologies for cell deformability cytometry

AbstractMicrofluidic detection methods for cell deformability cytometry have been regarded as powerful tools for single‐cell analysis of cellular mechanical phenotypes, thus having been widely applied in the fields of cell preparation, separation, clinical diagnostics and so on. Featured with traits like easy operations, low cost and high throughput, such methods have shown great potentials on investigating physiological state and pathological changes during cellular deformation. Herein, a review on the advancements of microfluidic‐based cell deformation cytometry is presented. We discuss several representative microfluidic‐based cell deformability cytometry methods with their frontiers in practical applications. Finally, we analyze the current status and propose the remaining challenges with future perspectives and development directions.

Active and dormant microorganisms on glacier surfaces.

Glacier and ice sheet surfaces host diverse communities of microorganisms whose activity (or inactivity) influences biogeochemical cycles and ice melting. Supraglacial microbes endure various environmental extremes including resource scarcity, frequent temperature fluctuations above and below the freezing point of water, and high UV irradiance during summer followed by months of total darkness during winter. One strategy that enables microbial life to persist through environmental extremes is dormancy, which despite being prevalent among microbial communities in natural settings, has not been directly measured and quantified in glacier surface ecosystems. Here, we use a combination of metabarcoding and metatranscriptomic analyses, as well as cell-specific activity (BONCAT) incubations to assess the diversity and activity of microbial communities from glacial surfaces in Iceland and Greenland. We also present a new ecological model for glacier microorganisms and simulate physiological state-changes in the glacial microbial community under idealized (i) freezing, (ii) thawing, and (iii) freeze-thaw conditions. We show that a high proportion (>50%) of bacterial cells are translationally active in-situ on snow and ice surfaces, with Actinomycetota, Pseudomonadota, and Planctomycetota dominating the total and active community compositions, and that glacier microorganisms, even when frozen, could resume translational activity within 24 h after thawing. Our data suggest that glacial microorganisms respond rapidly to dynamic and changing conditions typical of their natural environment. We deduce that the biology and biogeochemistry of glacier surfaces are shaped by processes occurring over short (i.e., daily) timescales, and thus are susceptible to change following the expected alterations to the melt-regime of glaciers driven by climate change. A better understanding of the activity of microorganisms on glacier surfaces is critical in addressing the growing concern of climate change in Polar regions, as well as for their use as analogues to life in potentially habitable icy worlds.

Visual display system of changes in physiological states for patients with chronic disorders and data transmission via optical wireless communication

A visual display system of changes in the physiological state of patients and their data transmission via optical wireless communication is presented. Existing methods such as bedside monitors do not provide the possibility of visual display of information near the object in conditions of high workload of personnel and allow transmitting data via an electric cable or remotely in the radio frequency range. Such disadvantages reduce the responsiveness of personnel and lead to numerous errors in the transmitted data. A remote operational monitoring system is more effective, providing data collection from sensors, display with minimal delay time and data transmission over an interference-free communication channel in the optical range. A simple and visual way of displaying information allows to quickly and accurately recognize critical situations. The proposed system has two channels. The first channel provides a visual representation of changes in the physiological state on the visual display device in the form of a bracelet. The second channel allows transmitting data about the deviation in the patient’s condition via optical wireless communication in the infrared range of the spectrum for detailed display on a computer. The visual representation of changes in the physiological state is based on programmable change in the color of the LED indicators and on change in their operation modes. The block diagram and design of the visual display and data transmission system are presented. As part of the evaluation of the system operability, the heating of the visual display device in the COMSOL Multiphysics was evaluated. It is shown, that the average heating temperature of the indicator part in contact with human skin does not exceed 24 °C and is safe for the patient. The optical scheme of the receiving unit and the transmitting module is presented. The optical model of the module is presented in the Zemax program. It is shown, that the required average optical power of the working spectral region is 235 μW for the four infrared LEDs and four photodiodes located at a distance of 1 meter. A description of the working layout of a visual display and data transmission device is presented, including a digital pulse sensor and blood oxygen level, a color control and data processing unit, a visual display device, and a data transmission unit. The LEDs operation modes and its compliance with the deviation of the controlled parameters were checked by a special microcontroller program of practical significance. The implementation of the developed system is relevant when monitoring the condition of the object of observation in cases where the use of the radio frequency range is limited and the stability of the data transmission channel to electromagnetic interference plays an important role.