Transcriptomic and intervention evidence reveals domestic dogs as a promising model for anti-inflammatory investigation.

Domestic dogs have great potential to expand our understanding of the determinants of aging. To understand the aging pattern of domestic dogs and evaluate whether they can be used as an aging model, we performed RNA sequencing on white blood cells from domestic dogs aged 1-9 years and treated aged dogs with classical antiaging approaches. We obtained 30 RNA sequencing libraries and identified 61 age-associated genes with dynamic changes, the majority of which were related to metabolism and immune function, which may be predominant biomarkers for aging in dogs. We next treated aged dogs with canine mesenchymal stem cells (cMSCs), nicotinamide mononucleotide, and rapamycin to determine whether and how they responded to the antiaging interventions. The results showed that these treatments can significantly reduce the level of inflammatory factors (IL-6 and TNF-α). MSCs effectively improved the heart functions of aged dogs. Three key potential age-related genes (PYCR1, CCRL2, and TOX) were reversed by MSC treatment, two of which (CCRL2 and TOX) are implicated in immunity. Overall, we profiled the transcriptomic pattern of domestic dogs and revealed that they may be a good model of aging, especially in anti-inflammatory investigations.

A topic review on probing primordial black hole dark matter with scalar induced gravitational waves.

Primordial black holes (PBHs) might form from the collapse of over-densed regions generated by large scalar curvature perturbations in the radiation dominated era. Despite decades of various independent observations, the nature of dark matter (DM) remains highly puzzling. Recently, PBH DM have aroused interest since they provide an attracting explanation to the merger events of binary black holes discovered by LIGO/VIRGO and may play an important role on DM. During the formation of PBH, gravitational waves will be sourced by linear scalar perturbations at second-order, known as the scalar induced gravitational waves (SIGWs), which provides a new way to hunt for PBH DM. This topic review mainly focuses on the physics about SIGWs accompanying the formation of PBH DM.

Pulsar Timing Array Constraints on Primordial Black Holes with NANOGrav 11-Year Dataset.

The detection of binary black hole coalescences by LIGO and Virgo has aroused the interest in primordial black holes (PBHs), because they could be both the progenitors of these black holes and a compelling candidate of dark matter (DM). PBHs are formed soon after the enhanced scalar perturbations reenter horizon during the radiation dominated era, which would inevitably induce gravitational waves as well. Searching for such scalar induced gravitational waves (SIGWs) provides an elegant way to probe PBHs. We perform the first direct search for the signals of SIGWs accompanying the formation of PBHs in the North American Nanohertz Observatory for Gravitational waves (NANOGrav) 11-year dataset. No statistically significant detection has been made, and hence we place a stringent upper limit on the abundance of PBHs at 95% confidence level. In particular, less than one part in a million of the total DM mass could come from PBHs in the mass range of [2×10^{-3},7×10^{-1}] M_{⊙}.

Constraints on the Primordial Black Hole Abundance from the First Advanced LIGO Observation Run Using the Stochastic Gravitational-Wave Background.

Advanced LIGO's discovery of gravitational-wave events is stimulating extensive studies on the origin of binary black holes. Assuming that the gravitational-wave events can be explained by binary primordial black hole mergers, we utilize the upper limits on the stochastic gravitational-wave background given by Advanced LIGO as a new observational window to independently constrain the abundance of primordial black holes in dark matter. We show that Advanced LIGO's first observation run gives the best constraint on the primordial black hole abundance in the mass range 1M_{⊙}≲M_{PBH}≲100M_{⊙}, pushing the previous microlensing and dwarf galaxy dynamics constraints tighter by 1 order of magnitude. Moreover, we discuss the possibility to detect the stochastic gravitational-wave background from primordial black holes, in particular from subsolar mass primordial black holes, by Advanced LIGO in the near future.

A retrospective study of female reproductive parameters in the Kunming dog.

The Kunming dog is the first and only working dog breed from China to be recognized worldwide. As a domestic working dog, its excellent working performance has been well established; however, its normal reproductive parameters are not well understood. Therefore, this study was conducted to document the main reproductive parameters of this purebred working dog in field breeding conditions. Data on 1004 heats (753 with mating) from 203 bitches between 2008 to 2014, were collected and analyzed. The pregnancy rate and whelping rate was 79.42% and 75.30%, respectively. Finally, for 567 litters (4298 puppies), the mean litter size was 7.19 ± 0.12 puppies (range 1-15). The mean gestation period and birth weight were approximately 61.64 ± 0.10 days and 407.25 ± 1.21 g. The mean sex ratio was 1.03 males to 1.00 female. Estrus occurred throughout the year with no significant differences between seasons and months (P > 0.05), which confirms that Kunming dogs are non-seasonal breeders; births occurred in every month of the year. Pregnant bitches exhibited significantly longer inter-estrus intervals than non-pregnant bitches (220.85 ± 2.05 vs. 180.19 ± 2.94 days, P < 0.05). Bitch parity influenced litter size, and the gestation length and birth weight of the puppies were negatively affected by litter size. This study helps elucidate the reproductive potential of this breed and provides reference values for reproductive performance in the Kunming dog.

Quantification and characterization of ß-lactam resistance genes in 15 sewage treatment plants from East Asia and North America.

The emerging antibiotic resistance genes in the aquatic environment have aroused public concern. As ß-lactam is the most widely used group of antibiotics, ß-lactam resistance genes were selected to investigate their distribution and diversity in the activated sludge from 15 geographically different sewage treatment plants (STPs) of China, Singapore, USA, and Canada. Specific PCR and quantitative real-time PCR (q-PCR) were used to investigate the occurrence and abundance of nine ß-lactam resistance genes. Five genes (OXA-1, OXA-2, OXA-10, ampC, and TEM-1) were detected in most of the sludge collected, while three genes (mecA, CTX-M-1, and SME) were not found in any sludge sample. The total abundances of the six detected ß-lactam resistance genes in the 15 STPs varied from 5.34 × 10(1) copies/ng DNA (ampC) to 5.49 × 10(4) copies/ng DNA (OXA-1). Overall, OXA-1 had the highest total concentration, followed by IMP and OXA-10. Noticeably, the abundances of TEM-1 in Chinese STPs were generally higher than those in the STPs of other countries, while the abundances of OXA-2 and IMP in the STPs of North America were much greater than those of East Asia. A total of 78 clones carrying ß-lactam resistance genes were randomly selected from six clone libraries for phylogenetic diversity analysis; the similarity of these cloned genes to known ß-lactam resistance genes with sequence identities ranged from 96% to 100%. Furthermore, OXA-1, ampC, and IMP were found to be more diverse than the other ß-lactam resistance genes.