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Overcoming the Challenges of Infectious Disease Studies: The Use of Advanced Animal Models in Studying HIV and HBV

Developing new drugs to combat these infectious diseases is crucial, but the process is fraught with challenges. One major obstacle is the selection of…

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By Kiave Yune Ho Wang Yin, PhD

Infectious diseases such as human immunodeficiency virus (HIV) and hepatitis B (HBV) can have severe implications for liver health, and in the worst cases, cause death. While symptoms vary from condition to condition, infectious diseases have one thing in common—their transmissibility. Such conditions are therefore able to affect millions of lives across the globe. HIV alone was responsible for an estimated 650,000 deaths in 2021, for example, while HBV affects approximately 296 million people and contributes to around 820,000 deaths per year.

Developing new drugs to combat these infectious diseases is crucial, but the process is fraught with challenges. One major obstacle is the selection of an appropriate mouse model that facilitates the translation of preclinical study findings into successful clinical trials. In particular, existing models struggle to determine efficacy, drug toxicity, and drug-drug interactions, all of which are crucial to develop safe and efficacious drugs. Furthermore, having the right facilities to run compliant studies on infectious diseases is essential—something which many organizations do not have.

Kiave Yune Ho Wang Yin, PhD

Humanized in vivo mouse models, with either humanized immune systems or humanized livers, offer the potential for more human-relevant preclinical findings. In this article, we delve into the different types of models available, their role in developing more efficacious treatments, and the benefits of partnering with a company that can provide the necessary facilities and services to streamline the drug development process.

Why use humanized mouse models for infectious diseases?

When developing treatments for infectious diseases, it is crucial to consider the roles of the liver and immune system, as they significantly influence the pathophysiology of infectious diseases. For example, HIV targets human CD4+ circulating lymphocytes, which can directly impact liver health. Secondly, the liver influences drug activity by either metabolizing prodrugs into active metabolites or deactivating active drugs.

Failing to account for liver interactions during drug development can lead to missed key parameters that affect treatment efficacy, such as dosage, treatment, pharmacokinetic (PK), and pharmacodynamic (PD) data. Not having this data to factor into your analysis makes it challenging to choose the best preclinical candidate for progression, as the full picture of its safety and efficacy is unavailable. Subsequently, it squanders valuable time, money, and resources.

Further complicating preclinical animal studies, toxicity may be incorrectly detected if a less human-relevant model is used. Drugs might trigger highly dangerous side effects in human studies, for example, or they may cause a misleading reaction in mice, leading to the dismissal of a drug that would actually be safe for human use.

Humanized mouse models can bridge this gap by providing more relevant results. As the mice recapitulate human organs and the immune system, better insights into drug efficacy, safety, and interactions with human biology are unlocked.

Consider the liver for more relevant results

The humanized liver mouse model is a powerful tool in drug development for infectious diseases. To create the model, human liver cells are transplanted into mice that lack a functional liver or have liver damage. Subsequently, the mice gain a fully functional human liver, thereby offering a highly predictive model that is ideal for studying HBV.

Humanized liver mouse models allow researchers to study the complete life cycle of HBV and the effects of antiviral therapies on infected liver cells. Data generated using these models is therefore more human-relevant, allowing researchers to better predict clinical outcomes.

Humanized liver mouse models have many applications, including:

  • Preclinical toxicity testing
  • Drug metabolism analysis to identify all human-generated drug candidate metabolites
  • Drug-drug interaction studies
  • Metabolic research

The immune system plays a crucial role

As well as the liver, the immune system is also highly important in many infectious diseases such as HIV and HBV. Since many drug candidates target the immune system, preclinical models must therefore account for the interactions between the immune system, the disease, and potential treatments for maximum relevancy.

The humanized immune system mouse model is an invaluable tool in this regard. In this model, the mice are engrafted with CD34+ cells (undifferentiated cells) derived from cord blood to generate a fully functional human immune system. What’s more, the mice can undergo hydrodynamic gene delivery (or boosting) to enable customized human immune systems with enhanced differentiation of cells.

Compared to traditional preclinical models, humanized mice offer several benefits:

  • The absence of graft versus host disease (GvHD) reactions
  • Stable humanization for the animal’s lifetime
  • Presence of all immune cell types—myeloid cells, T cells, B cells, and NK cells

Owing to the advantages of humanized mouse models, they can enhance multiple study areas. For example, immune-targeted studies, drug efficacy evaluations, and drug safety assessments can all be investigated using humanized mice.

It takes a village: How a partner can support your studies

Studying infectious diseases involves adhering to stringent safety regulations to eliminate contamination risks, protect personnel involved in running experiments, and prevent transmission—all while maintaining biocontainment and security. Biosafety levels (BSL) play a vital part in ensuring compliance, with BSL-2 and BSL-3 being particularly relevant for infectious disease research.

BSL-2 labs are designed for handling bacteria, viruses, and organisms associated with human diseases. These labs require biological safety cabinets and autoclaves as barriers. BSL-3 labs, on the other hand, are intended for handling indigenous or exotic agents that can cause potentially lethal diseases, such as HIV or HBV. Access to BSL-3 labs is limited, and personnel require medical surveillance for their safety.

Implementing BSL-compliant labs, however, can be notoriously challenging. Notably, labs take up valuable building space. But to be certified, they must be situated in specific areas of the building, which can be expensive and time-consuming to achieve. Additionally, maintaining BSL compliance entails a high burden, including staff training, extensive administration, liability risks, and high operational costs.

Working with a partner, rather than just a mouse model supplier, can alleviate these challenges and allow labs to confidently investigate treatments in humanized mouse models. It’s important to seek a partner that offers both BSL-2 and BSL-3 facilities, as they can run the experiments on your behalf—thereby eliminating the need for your own in-house facilities.

Partnering with a company experienced in handling infectious disease research using humanized mouse models offers numerous advantages, including:

  • Reduced personnel burden (with no training or liability)
  • Increased confidence in the safety of experiments
  • Potential cost savings compared to investing in your own BSL-2/3 spaces and getting certification

Deeper insights for better treatments

New treatments are urgently needed to reduce the number of deaths worldwide caused by infectious diseases such as HIV and HBV. More relevant preclinical models are essential for developing efficacious treatments, as they enable better translation of results into clinical studies.

The humanized liver mouse model improves and enables studies for toxicity, drug metabolism, and drug-drug interactions. Meanwhile, the humanized immune system mouse model provides deeper insights into disease mechanisms and immune interactions.

For labs lacking the necessary BSL-2 or BSL-3 facilities, working with a partner can remove barriers to successfully running preclinical studies. By leveraging the insights gained from humanized mouse models, researchers can be more confident in their results and advance the most promising treatments into clinical studies—ultimately helping to get effective treatments to patients more rapidly.

 

Kiave Yune Ho Wang Yin, PhD, is chief business officer at TransCure bioServices.

The post Overcoming the Challenges of Infectious Disease Studies: The Use of Advanced Animal Models in Studying HIV and HBV appeared first on GEN - Genetic Engineering and Biotechnology News.

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February Employment Situation

By Paul Gomme and Peter Rupert The establishment data from the BLS showed a 275,000 increase in payroll employment for February, outpacing the 230,000…

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By Paul Gomme and Peter Rupert

The establishment data from the BLS showed a 275,000 increase in payroll employment for February, outpacing the 230,000 average over the previous 12 months. The payroll data for January and December were revised down by a total of 167,000. The private sector added 223,000 new jobs, the largest gain since May of last year.

Temporary help services employment continues a steep decline after a sharp post-pandemic rise.

Average hours of work increased from 34.2 to 34.3. The increase, along with the 223,000 private employment increase led to a hefty increase in total hours of 5.6% at an annualized rate, also the largest increase since May of last year.

The establishment report, once again, beat “expectations;” the WSJ survey of economists was 198,000. Other than the downward revisions, mentioned above, another bit of negative news was a smallish increase in wage growth, from $34.52 to $34.57.

The household survey shows that the labor force increased 150,000, a drop in employment of 184,000 and an increase in the number of unemployed persons of 334,000. The labor force participation rate held steady at 62.5, the employment to population ratio decreased from 60.2 to 60.1 and the unemployment rate increased from 3.66 to 3.86. Remember that the unemployment rate is the number of unemployed relative to the labor force (the number employed plus the number unemployed). Consequently, the unemployment rate can go up if the number of unemployed rises holding fixed the labor force, or if the labor force shrinks holding the number unemployed unchanged. An increase in the unemployment rate is not necessarily a bad thing: it may reflect a strong labor market drawing “marginally attached” individuals from outside the labor force. Indeed, there was a 96,000 decline in those workers.

Earlier in the week, the BLS announced JOLTS (Job Openings and Labor Turnover Survey) data for January. There isn’t much to report here as the job openings changed little at 8.9 million, the number of hires and total separations were little changed at 5.7 million and 5.3 million, respectively.

As has been the case for the last couple of years, the number of job openings remains higher than the number of unemployed persons.

Also earlier in the week the BLS announced that productivity increased 3.2% in the 4th quarter with output rising 3.5% and hours of work rising 0.3%.

The bottom line is that the labor market continues its surprisingly (to some) strong performance, once again proving stronger than many had expected. This strength makes it difficult to justify any interest rate cuts soon, particularly given the recent inflation spike.

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Mortgage rates fall as labor market normalizes

Jobless claims show an expanding economy. We will only be in a recession once jobless claims exceed 323,000 on a four-week moving average.

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Everyone was waiting to see if this week’s jobs report would send mortgage rates higher, which is what happened last month. Instead, the 10-year yield had a muted response after the headline number beat estimates, but we have negative job revisions from previous months. The Federal Reserve’s fear of wage growth spiraling out of control hasn’t materialized for over two years now and the unemployment rate ticked up to 3.9%. For now, we can say the labor market isn’t tight anymore, but it’s also not breaking.

The key labor data line in this expansion is the weekly jobless claims report. Jobless claims show an expanding economy that has not lost jobs yet. We will only be in a recession once jobless claims exceed 323,000 on a four-week moving average.

From the Fed: In the week ended March 2, initial claims for unemployment insurance benefits were flat, at 217,000. The four-week moving average declined slightly by 750, to 212,250


Below is an explanation of how we got here with the labor market, which all started during COVID-19.

1. I wrote the COVID-19 recovery model on April 7, 2020, and retired it on Dec. 9, 2020. By that time, the upfront recovery phase was done, and I needed to model out when we would get the jobs lost back.

2. Early in the labor market recovery, when we saw weaker job reports, I doubled and tripled down on my assertion that job openings would get to 10 million in this recovery. Job openings rose as high as to 12 million and are currently over 9 million. Even with the massive miss on a job report in May 2021, I didn’t waver.

Currently, the jobs openings, quit percentage and hires data are below pre-COVID-19 levels, which means the labor market isn’t as tight as it once was, and this is why the employment cost index has been slowing data to move along the quits percentage.  

2-US_Job_Quits_Rate-1-2

3. I wrote that we should get back all the jobs lost to COVID-19 by September of 2022. At the time this would be a speedy labor market recovery, and it happened on schedule, too

Total employment data

4. This is the key one for right now: If COVID-19 hadn’t happened, we would have between 157 million and 159 million jobs today, which would have been in line with the job growth rate in February 2020. Today, we are at 157,808,000. This is important because job growth should be cooling down now. We are more in line with where the labor market should be when averaging 140K-165K monthly. So for now, the fact that we aren’t trending between 140K-165K means we still have a bit more recovery kick left before we get down to those levels. 




From BLS: Total nonfarm payroll employment rose by 275,000 in February, and the unemployment rate increased to 3.9 percent, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in health care, in government, in food services and drinking places, in social assistance, and in transportation and warehousing.

Here are the jobs that were created and lost in the previous month:

IMG_5092

In this jobs report, the unemployment rate for education levels looks like this:

  • Less than a high school diploma: 6.1%
  • High school graduate and no college: 4.2%
  • Some college or associate degree: 3.1%
  • Bachelor’s degree or higher: 2.2%
IMG_5093_320f22

Today’s report has continued the trend of the labor data beating my expectations, only because I am looking for the jobs data to slow down to a level of 140K-165K, which hasn’t happened yet. I wouldn’t categorize the labor market as being tight anymore because of the quits ratio and the hires data in the job openings report. This also shows itself in the employment cost index as well. These are key data lines for the Fed and the reason we are going to see three rate cuts this year.

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Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Last month we though that the January…

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Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Last month we though that the January jobs report was the "most ridiculous in recent history" but, boy, were we wrong because this morning the Biden department of goalseeked propaganda (aka BLS) published the February jobs report, and holy crap was that something else. Even Goebbels would blush. 

What happened? Let's take a closer look.

On the surface, it was (almost) another blockbuster jobs report, certainly one which nobody expected, or rather just one bank out of 76 expected. Starting at the top, the BLS reported that in February the US unexpectedly added 275K jobs, with just one research analyst (from Dai-Ichi Research) expecting a higher number.

Some context: after last month's record 4-sigma beat, today's print was "only" 3 sigma higher than estimates. Needless to say, two multiple sigma beats in a row used to only happen in the USSR... and now in the US, apparently.

Before we go any further, a quick note on what last month we said was "the most ridiculous jobs report in recent history": it appears the BLS read our comments and decided to stop beclowing itself. It did that by slashing last month's ridiculous print by over a third, and revising what was originally reported as a massive 353K beat to just 229K,  a 124K revision, which was the biggest one-month negative revision in two years!

Of course, that does not mean that this month's jobs print won't be revised lower: it will be, and not just that month but every other month until the November election because that's the only tool left in the Biden admin's box: pretend the economic and jobs are strong, then revise them sharply lower the next month, something we pointed out first last summer and which has not failed to disappoint once.

To be fair, not every aspect of the jobs report was stellar (after all, the BLS had to give it some vague credibility). Take the unemployment rate, after flatlining between 3.4% and 3.8% for two years - and thus denying expectations from Sahm's Rule that a recession may have already started - in February the unemployment rate unexpectedly jumped to 3.9%, the highest since February 2022 (with Black unemployment spiking by 0.3% to 5.6%, an indicator which the Biden admin will quickly slam as widespread economic racism or something).

And then there were average hourly earnings, which after surging 0.6% MoM in January (since revised to 0.5%) and spooking markets that wage growth is so hot, the Fed will have no choice but to delay cuts, in February the number tumbled to just 0.1%, the lowest in two years...

... for one simple reason: last month's average wage surge had nothing to do with actual wages, and everything to do with the BLS estimate of hours worked (which is the denominator in the average wage calculation) which last month tumbled to just 34.1 (we were led to believe) the lowest since the covid pandemic...

... but has since been revised higher while the February print rose even more, to 34.3, hence why the latest average wage data was once again a product not of wages going up, but of how long Americans worked in any weekly period, in this case higher from 34.1 to 34.3, an increase which has a major impact on the average calculation.

While the above data points were examples of some latent weakness in the latest report, perhaps meant to give it a sheen of veracity, it was everything else in the report that was a problem starting with the BLS's latest choice of seasonal adjustments (after last month's wholesale revision), which have gone from merely laughable to full clownshow, as the following comparison between the monthly change in BLS and ADP payrolls shows. The trend is clear: the Biden admin numbers are now clearly rising even as the impartial ADP (which directly logs employment numbers at the company level and is far more accurate), shows an accelerating slowdown.

But it's more than just the Biden admin hanging its "success" on seasonal adjustments: when one digs deeper inside the jobs report, all sorts of ugly things emerge... such as the growing unprecedented divergence between the Establishment (payrolls) survey and much more accurate Household (actual employment) survey. To wit, while in January the BLS claims 275K payrolls were added, the Household survey found that the number of actually employed workers dropped for the third straight month (and 4 in the past 5), this time by 184K (from 161.152K to 160.968K).

This means that while the Payrolls series hits new all time highs every month since December 2020 (when according to the BLS the US had its last month of payrolls losses), the level of Employment has not budged in the past year. Worse, as shown in the chart below, such a gaping divergence has opened between the two series in the past 4 years, that the number of Employed workers would need to soar by 9 million (!) to catch up to what Payrolls claims is the employment situation.

There's more: shifting from a quantitative to a qualitative assessment, reveals just how ugly the composition of "new jobs" has been. Consider this: the BLS reports that in February 2024, the US had 132.9 million full-time jobs and 27.9 million part-time jobs. Well, that's great... until you look back one year and find that in February 2023 the US had 133.2 million full-time jobs, or more than it does one year later! And yes, all the job growth since then has been in part-time jobs, which have increased by 921K since February 2023 (from 27.020 million to 27.941 million).

Here is a summary of the labor composition in the past year: all the new jobs have been part-time jobs!

But wait there's even more, because now that the primary season is over and we enter the heart of election season and political talking points will be thrown around left and right, especially in the context of the immigration crisis created intentionally by the Biden administration which is hoping to import millions of new Democratic voters (maybe the US can hold the presidential election in Honduras or Guatemala, after all it is their citizens that will be illegally casting the key votes in November), what we find is that in February, the number of native-born workers tumbled again, sliding by a massive 560K to just 129.807 million. Add to this the December data, and we get a near-record 2.4 million plunge in native-born workers in just the past 3 months (only the covid crash was worse)!

The offset? A record 1.2 million foreign-born (read immigrants, both legal and illegal but mostly illegal) workers added in February!

Said otherwise, not only has all job creation in the past 6 years has been exclusively for foreign-born workers...

Source: St Louis Fed FRED Native Born and Foreign Born

... but there has been zero job-creation for native born workers since June 2018!

This is a huge issue - especially at a time of an illegal alien flood at the southwest border...

... and is about to become a huge political scandal, because once the inevitable recession finally hits, there will be millions of furious unemployed Americans demanding a more accurate explanation for what happened - i.e., the illegal immigration floodgates that were opened by the Biden admin.

Which is also why Biden's handlers will do everything in their power to insure there is no official recession before November... and why after the election is over, all economic hell will finally break loose. Until then, however, expect the jobs numbers to get even more ridiculous.

Tyler Durden Fri, 03/08/2024 - 13:30

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