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1.
Semin Reprod Med ; 2024 Sep 20.
Artículo en Inglés | MEDLINE | ID: mdl-39303740

RESUMEN

Ovulation is critical for both conception and overall health, but many people who may ovulate are not tracking ovulation or any other part of their menstrual cycle. Failure to track ovulation, especially in those trying to conceive, can lead to fertility challenges due to absent ovulation, mistiming intercourse, or an undetected luteal phase defect. Ovulatory disorders and mistiming intercourse are both primary causes of infertility, and tracking ovulation is shown to decrease the average time to conception. While there are many tracking methods and apps available, the majority are predictive apps or ovulation predictor kits and do not test or track both successful ovulation and the health of the luteal phase, leading to missing information that could contribute to diagnosis or successful conception. Here, we review why ovulation tracking and a healthy luteal phase are important for those trying to conceive. We present currently available ovulation tracking methods that detect both ovulation and the luteal phase, including cervical mucus, urinary hormone testing, and basal body temperature, and discuss the use, advantages, and disadvantages of each. Finally, we consider the role of digital applications and tracking technologies in ovulation tracking.

2.
J Bacteriol ; : e0015124, 2024 Sep 11.
Artículo en Inglés | MEDLINE | ID: mdl-39258918

RESUMEN

Small multidrug resistance (SMR) transporters are key players in the defense of multidrug-resistant pathogens to toxins and other homeostasis-perturbing compounds. However, recent evidence demonstrates that EmrE, an SMR from Escherichia coli and a model for understanding transport, can also induce susceptibility to some compounds by drug-gated proton leak. This runs down the ∆pH component of the proton-motive force (PMF), reducing the viability of the affected bacteria. Proton leak may provide an unexplored drug target distinct from the targets of most known antibiotics. Activating proton leak requires an SMR to be merely present, rather than be the primary resistance mechanism, and dissipates the energy source for many other efflux pumps. PAsmr, an EmrE homolog from Pseudomonas aeruginosa, transports many EmrE substrates in cells and purified systems. We hypothesized that PAsmr, like EmrE, may confer susceptibility to some compounds via drug-gated proton leak. Growth assays of E. coli expressing PAsmr displayed substrate-dependent resistance and susceptibility phenotypes, and in vitro solid-supported membrane electrophysiology experiments revealed that PAsmr performs both antiport and substrate-gated proton uniport, demonstrating the same functional promiscuity observed in EmrE. Growth assays of P. aeruginosa strain PA14 demonstrated that PAsmr contributes resistance to some antimicrobial compounds, but no growth defect is observed with susceptibility substrates, suggesting P. aeruginosa can compensate for the proton leak occurring through PAsmr. These phenotypic differences between P. aeruginosa and E. coli advance our understanding of the underlying resistance mechanisms in P. aeruginosa and prompt further investigation into the role that SMRs play in antibiotic resistance in pathogens. IMPORTANCE: Small multidrug resistance (SMR) transporters are a class of efflux pumps found in many pathogens, although their contributions to antibiotic resistance are not fully understood. We hypothesize that these transporters may confer not only resistance but also susceptibility, by dissipating the proton-motive force. This means to use an SMR transporter as a target; it merely needs to be present (as opposed to being the primary resistance mechanism). Here, we test this hypothesis with an SMR transporter found in Pseudomonas aeruginosa and find that it can perform both antiport (conferring resistance) and substrate-gated proton leak. Proton leak is detrimental to growth in Escherichia coli but not P. aeruginosa, suggesting that P. aeruginosa responds differently to or can altogether prevent ∆pH dissipation.

3.
Mol Microbiol ; 121(4): 798-813, 2024 04.
Artículo en Inglés | MEDLINE | ID: mdl-38284496

RESUMEN

Small multidrug resistance transporters efflux toxic compounds from bacteria and are a minimal system to understand multidrug transport. Most previous studies have focused on EmrE, the model SMR from Escherichia coli, finding that EmrE has a broader substrate profile than previously thought and that EmrE may perform multiple types of transport, resulting in substrate-dependent resistance or susceptibility. Here, we performed a broad screen to identify potential substrates of three other SMRs: PAsmr from Pseudomonas aeruginosa; FTsmr from Francisella tularensis; and SAsmr from Staphylococcus aureus. This screen tested metabolic differences in E. coli expressing each transporter versus an inactive mutant, for a clean comparison of sequence and substrate-specific differences in transporter function, and identified many substrates for each transporter. In general, resistance compounds were charged, and susceptibility substrates were uncharged, but hydrophobicity was not correlated with phenotype. Two resistance hits and two susceptibility hits were validated via growth assays and IC50 calculations. Susceptibility is proposed to occur via substrate-gated proton leak, and the addition of bicarbonate antagonizes the susceptibility phenotype, consistent with this hypothesis.


Asunto(s)
Proteínas de Escherichia coli , Francisella tularensis , Escherichia coli/genética , Francisella tularensis/metabolismo , Pseudomonas aeruginosa/metabolismo , Staphylococcus aureus/metabolismo , Proteínas de Escherichia coli/metabolismo , Antiportadores/genética , Proteínas de Transporte de Membrana/metabolismo , Resistencia a Múltiples Medicamentos
4.
Medicina (Kaunas) ; 58(12)2022 Dec 15.
Artículo en Inglés | MEDLINE | ID: mdl-36557055

RESUMEN

Background and Objectives: To achieve pregnancy, it is highly beneficial to identify the time of ovulation as well as the greater period of fertile days during which sperm may survive leading up to ovulation. Confirming successful ovulation is also critical to accurately diagnose ovulatory disorders. Ovulation predictor kits, fertility monitors, and tracking apps are all available to assist with detecting ovulation, but often fall short. They may not detect the full fertile window, provide accurate or real-time information, or are simply expensive and impractical. Finally, few over-the-counter products provide information to women about their ovarian reserve and future fertility. Therefore, there is a need for an easy, over-the-counter, at-home quantitative hormone monitoring system that assesses ovarian reserve, predicts the entire fertile window, and can screen for ovulatory disorders. Materials and Methods: Proov Complete is a four-in-one at-home multihormone testing system that utilizes lateral flow assay test strips paired with the free Proov Insight App to guide testing of four hormones-FSH, E1G, LH, and PdG-across the woman's cycle. In a pilot study, 40 women (including 16 with a fertility-related diagnosis or using fertility treatments) used Complete for one cycle. Results: Here, we demonstrate that Proov Complete can accurately and sensitively predict ovarian reserve, detect up to 6 fertile days and confirm if ovulation was successful, in one easy-to-use kit. Ovulation was confirmed in 38 cycles with a detectable PdG rise. An average of 5.3 fertile days (from E1G rise to PdG rise) were detected, with an average of 2.7 days prior to LH surge. Ovulation was confirmed via PdG rise an average of 2.6 days following the LH surge. While 38/40 women had a PdG rise, only 22 had a sustained PdG level above 5 µg/mL throughout the critical implantation window, indicating ovulatory dysfunction in 16 women. Conclusions: Proov Complete can detect the entire fertile window of up to 6 fertile days and confirm ovulation, while also providing information on ovarian reserve and guidance to clinicians and patients.


Asunto(s)
Ovulación , Semen , Masculino , Femenino , Humanos , Proyectos Piloto , Fertilidad , Hormona Luteinizante
5.
Viruses ; 14(10)2022 09 30.
Artículo en Inglés | MEDLINE | ID: mdl-36298715

RESUMEN

Yeast prions are protein-based transmissible elements, most of which are amyloids. The chaperone protein network in yeast is inexorably linked to the spreading of prions during cell division by fragmentation of amyloid prion aggregates. Specifically, the core "prion fragmentation machinery" includes the proteins Hsp104, Hsp70 and the Hsp40/J-domain protein (JDP) Sis1. Numerous novel amyloid-forming proteins have been created and examined in the yeast system and occasionally these amyloids are also capable of continuous Hsp104-dependent propagation in cell populations, forming synthetic prions. However, additional chaperone requirements, if any, have not been determined. Here, we report the first instances of a JDP-Hsp70 system requirement for the propagation of synthetic prions. We utilized constructs from a system of engineered prions with prion-forming domains (PrDs) consisting of a polyQ stretch interrupted by a single heterologous amino acid interspersed every fifth residue. These "polyQX" PrDs are fused to the MC domains of Sup35, creating chimeric proteins of which a subset forms synthetic prions in yeast. For four of these prions, we show that SIS1 repression causes prion loss in a manner consistent with Sis1's known role in prion fragmentation. PolyQX prions were sensitive to Sis1 expression levels to differing degrees, congruent with the variability observed among native prions. Our results expand the scope known Sis1 functionality, demonstrating that Sis1 acts on amyloids broadly, rather than through specific protein-protein interactions with individual yeast prion-forming proteins.


Asunto(s)
Priones , Proteínas de Saccharomyces cerevisiae , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Priones/química , Proteínas de Saccharomyces cerevisiae/química , Chaperonas Moleculares/metabolismo , Proteínas HSP70 de Choque Térmico/metabolismo , Amiloide/química , Proteínas Amiloidogénicas/metabolismo , Aminoácidos/metabolismo , Proteínas Recombinantes de Fusión/metabolismo , Proteínas de Choque Térmico/genética , Proteínas de Choque Térmico/metabolismo , Factores de Terminación de Péptidos/genética , Factores de Terminación de Péptidos/metabolismo
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